Computer Vision Through Image Processing System
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PDF/A for Scanned Documents
Webinar www.pdfa.org PDF/A for Scanned Documents Paper Becomes Digital Mark McKinney, LuraTech, Inc., President Armin Ortmann, LuraTech, CTO Mark McKinney President, LuraTech, Inc. © 2009 PDF/A Competence Center, www.pdfa.org Existing Solutions for Scanned Documents www.pdfa.org Black & White: TIFF G4 Color: Mostly JPEG, but sometimes PNG, BMP and other raster graphics formats Often special version formats like “JPEG in TIFF” Disadvantages: Several formats already for scanned documents Even more formats for born digital documents Loss of information, e.g. with TIFF G4 Bad image quality and huge file size, e.g. with JPEG No standardized metadata spread over all formats Not full text searchable (OCR) inside of files Black/White: Color: - TIFF FAX G4 - TIFF - TIFF LZW Mark McKinney - JPEG President, LuraTech, Inc. - PDF 2 Existing Solutions for Scanned Documents www.pdfa.org Bad image quality vs. file size TIFF/BMP JPEG TIFF G4 23.8 MB 180 kB 60 kB Mark McKinney President, LuraTech, Inc. 3 Alternative Solution: PDF www.pdfa.org PDF is already widely used to: Unify file formats Image à PDF “Office” Documents à PDF Other sources à PDF Create full-text searchable files Apply modern compression technology (e.g. the JPEG2000 file formats family) Harmonize metadata Conclusion: PDF avoids the disadvantages of the legacy formats “So if you are already using PDF as archival Mark McKinney format, why not use PDF/A with its many President, LuraTech, Inc. advantages?” 4 PDF/A www.pdfa.org What is PDF/A? • ISO 19005-1, Document Management • Electronic document file format for long-term preservation Goals of PDF/A: • Maintain static visual representation of documents • Consistent handing of Metadata • Option to maintain structure and semantic meaning of content • Transparency to guarantee access • Limit the number of restrictions Mark McKinney President, LuraTech, Inc. -
Preparation Method for TIFF File (*.Tif) Over 300Dpi
Preparation method for TIFF file (*.tif) over 300dpi Using software with saving function of TIFF file. (e.g. DeltaGraph) 1. Select the figure. 2. On the “File” menu, point to “Export”, and then select “Image”. 3. Click “Option”, and select “Color/Gray-scale”. 4. Select “TIFF” in the “File type” dialog box, and save the file at over “300”dpi. Using Microsoft Excel. A) Using draw type graphics software. (e.g. Illustrator, Canvas, etc.) 1. Select the figure in Excel. 2. Copy the figure and paste into graphics software. 3. On the “File” menu, point to “Save as”, and save the file after select “TIFF (over 300dpi)“ in the “File type” dialog box. Compression “LZW”, “ZIP”, or “JPEG” should be used in compression mode for TIFF file to reduce the file size. B) Simple method Color printing by Excel or PowerPoint graphics 1. Select the figure in Excel or PowerPoint. 2. On the “File” menu, point to “Print”, and select “Microsoft Office Document Image Writer” under “printer”. Click “Properties”, click the “Advanced” tab, and then check “MDI” under “Output format”. 3. Click “OK”、and then close the “Properties”. 4. Click “OK” under “printer” and save the MDI file. 5. Start Windows Explorer. 6. Open the saved MDI file, or right-click of the saved MDI file —in the “Open with” dialog box; click “Microsoft Office Document Imaging”. 7. On the “Tool” menu, point to “Option”. In the “Compression” tab, check “LZW”, and then click “OK”. 8. On the “File” menu, point to “Save as”, and then select “TIFF ” in the “File type” dialog box. -
Fi-4750C Image Scanner Operator's Guide Fi-4750C Image Scanner Operator's Guide Revisions, Disclaimers
C150-E182-01EN fi-4750C Image Scanner Operator's Guide fi-4750C Image Scanner Operator's Guide Revisions, Disclaimers Edition Date published Revised contents 01 September, 2000 First edition Specification No. C150-E182-01EN FCC declaration: This equipment has been tested and found to comply with the limits for a Class B digital device, pursuant to Part 15 of the FCC Rules. These limits are designed to provide reasonable protection against harmful interference in a residential installation. This equipment generates, uses, and can radiate radio frequency energy and, if not installed and used in accordance with the instruction manual, may cause harmful interference to radio communications. However, there is no guarantee that interference will not occur in a particular installation. If this equipment does cause harmful interference to radio or television reception, which can be determined by turning the equipment off and on, the user is encouraged to try to correct the interference by one or more of the following measures: • Reorient or relocate the receiving antenna. • Increase the separation between the equipment and receiver. • Connect the equipment into an outlet on a circuit different from that to which the receiver is connected. • Consult the dealer or an experienced radio/TV technician for help. FCC warning: Changes or modifications not expressly approved by the party responsible for compliance could void the user's authority to operate the equipment. NOTICE • The use of a non-shielded interface cable with the referenced device is prohibited. The length of the parallel interface cable must be 3 meters (10 feet) or less. The length of the serial interface cable must be 15 meters (50 feet) or less. -
Understanding Image Formats and When to Use Them
Understanding Image Formats And When to Use Them Are you familiar with the extensions after your images? There are so many image formats that it’s so easy to get confused! File extensions like .jpeg, .bmp, .gif, and more can be seen after an image’s file name. Most of us disregard it, thinking there is no significance regarding these image formats. These are all different and not cross‐ compatible. These image formats have their own pros and cons. They were created for specific, yet different purposes. What’s the difference, and when is each format appropriate to use? Every graphic you see online is an image file. Most everything you see printed on paper, plastic or a t‐shirt came from an image file. These files come in a variety of formats, and each is optimized for a specific use. Using the right type for the right job means your design will come out picture perfect and just how you intended. The wrong format could mean a bad print or a poor web image, a giant download or a missing graphic in an email Most image files fit into one of two general categories—raster files and vector files—and each category has its own specific uses. This breakdown isn’t perfect. For example, certain formats can actually contain elements of both types. But this is a good place to start when thinking about which format to use for your projects. Raster Images Raster images are made up of a set grid of dots called pixels where each pixel is assigned a color. -
Binary Image Compression Algorithms for FPGA Implementation Fahad Lateef, Najeem Lawal, Muhammad Imran
International Journal of Scientific & Engineering Research, Volume 7, Issue 3, March-2016 331 ISSN 2229-5518 Binary Image Compression Algorithms for FPGA Implementation Fahad Lateef, Najeem Lawal, Muhammad Imran Abstract — In this paper, we presents results concerning binary image compression algorithms for FPGA implementation. Digital images are found in many places and in many application areas and they display a great deal of variety including remote sensing, computer sciences, telecommunication systems, machine vision systems, medical sciences, astronomy, internet browsing and so on. The major obstacle for many of these applications is the extensive amount of data required representing images and also the transmission cost for these digital images. Several image compression algorithms have been developed that perform compression in different ways depending on the purpose of the application. Some compression algorithms are lossless (having same information as original image), and some are lossy (loss information when compressed). Some of the image compression algorithms are designed for particular kinds of images and will thus not be as satisfactory for other kinds of images. In this project, a study and investigation has been conducted regarding how different image compression algorithms work on different set of images (especially binary images). Comparisons were made and they were rated on the bases of compression time, compression ratio and compression rate. The FPGA workflow of the best chosen compression standard has also been presented. These results should assist in choosing the proper compression technique using binary images. Index Terms—Binary Image Compression, CCITT, FPGA, JBIG2, Lempel-Ziv-Welch, PackBits, TIFF, Zip-Deflate. —————————— —————————— 1 INTRODUCTION OMPUTER usage for a variety of tasks has increased im- the most used image compression algorithms on a set of bina- C mensely during the last two decades. -
Chapter 3 Image Data Representations
Chapter 3 Image Data Representations 1 IT342 Fundamentals of Multimedia, Chapter 3 Outline • Image data types: • Binary image (1-bit image) • Gray-level image (8-bit image) • Color image (8-bit and 24-bit images) • Image file formats: • GIF, JPEG, PNG, TIFF, EXIF 2 IT342 Fundamentals of Multimedia, Chapter 3 Graphics and Image Data Types • The number of file formats used in multimedia continues to proliferate. For example, Table 3.1 shows a list of some file formats used in the popular product Macromedia Director. Table 3.1: Macromedia Director File Formats File Import File Export Native Image Palette Sound Video Anim. Image Video .BMP, .DIB, .PAL .AIFF .AVI .DIR .BMP .AVI .DIR .GIF, .JPG, .ACT .AU .MOV .FLA .MOV .DXR .PICT, .PNG, .MP3 .FLC .EXE .PNT, .PSD, .WAV .FLI .TGA, .TIFF, .GIF .WMF .PPT 3 IT342 Fundamentals of Multimedia, Chapter 3 1-bit Image - binary image • Each pixel is stored as a single bit (0 or 1), so also referred to as binary image. • Such an image is also called a 1-bit monochrome image since it contains no color. It is satisfactory for pictures containing only simple graphics and text. • A 640X480 monochrome image requires 38.4 kilobytes of storage (= 640x480 / (8x1000)). 4 IT342 Fundamentals of Multimedia, Chapter 3 8-bit Gray-level Images • Each pixel has a gray-value between 0 and 255. Each pixel is represented by a single byte; e.g., a dark pixel might have a value of 10, and a bright one might be 230. • Bitmap: The two-dimensional array of pixel values that represents the graphics/image data. -
Image Data Martin Spitaler
Imperial College London MICROSCOPY DAY 2011: Understanding and handling image data Martin Spitaler Understanding Images (Martin Spitaler) • What’s in an image file: •Pixel data • metadata • Getting the data into the file: Image acquisition • Image file formats • Using images: Image visualisation and presentation Handling Images (Chris Tomlinson & Mark Woodbridge) • Omero image database • Xperimenter experiment annotation system What’s in an image file: Pixel data Pixel (or binary) data with information about the sample • One or more frames of pixels (XY, XZ) • Each frame typically consists of a two-dimensional array of pixel values • Pixel values can be: • light intensity • array of intensities (PALM, STORM) • array of fluorescence lifetimes • in the future: correlated data, e.g. exposure times (CMOS), mass spectra, … • Frames are stacked in one or more specific orders: • Channel (colour, lifetime, …) •Z stack •Time • XY position in a plate MICROSCOPY DAY 2011: Understanding & handling image data Martin Spitaler What’s in an image file: Meta data Meta data make sense of the pixel information • Image type (TIFF, LSM, CXD, …) • pixel dimensions (size, time point, focus position) • Hardware settings: •objective lens • excitation light source: • type (laser, lamp) •intensity • excitation and dichroic filters •… • emission settings: • emission filters • detector gain and offset • pinhole size • sampling speed / exposure time •… MICROSCOPY DAY 2011: Understanding & handling image data Martin Spitaler What’s NOT in an image file: Experimental -
One Software Solution. One World of Difference for Your Content
Datasheet One software Have you heard? There has been a quiet revolution in solution. One world the way color documents are scanned and published on the Web. It is Document Express with DjVu®--a of diff erence for format that has long been preferred by universities your content. and libraries, because it produces dramatically smaller fi les while preserving original quality. Leading companies around the world are now turning to Document Express including Northwest Airlines, Panasonic, Samsung, Sears, Komatsu, and others-- and that’s because Document Express with DjVu is truly in a class by itself. Only Document Express empowers you to send scanned or electronic color documents on any platform, over any connection speed, with full confi dence in the results. Images download quickly, pages retain true design fi delity, and viewers can access and use your content in ways that are impossible with PDF, TIFF, or JPEG. Document Express with DjVu consistently delivers an excellent user experience, every time. About Document Express with DjVu Features Document Express with DjVu (pronounced: déjà vu) uses a highly effi cient document image compression methodology and fi le format. Scientists at AT&T Labs who fi rst de- veloped the DjVu format for color scanning, also found it vastly superior to Postscript or Sample 400dpi color scan PDF formats for transmitting electronic fi les. Document Express with DjVu uses the most advanced document image segmentation ever developed. The document image seg- 46 MB mentation technology enables the Document Express with DjVu format to have the high- est image quality while keeping text separate to maintain the highest legibility possible. -
Making TIFF Files from Drawing, Word Processing, Powerpoint And
Making TIFF and EPS files from Drawing, Word Processing, PowerPoint and Graphing Programs In the worlds of electronic publishing and video production programs, the need for TIFF or EPS formatted files is a necessity. Unfortunately, most of the imaging work done in research for presen- tation is done in PowerPoint, and this format simply cannot be used in most situations for these three ends. Files can be generally be saved or exported (by using either Save As or Export under File) into TIFF, PICT or JPEG files from PowerPoint, drawing, word processing and graphing programs—all called vector programs—but the results are often poor in resolution (in Photoshop these are shown as having a resolution of 72dpi when opening the Image Size dialogue box: under Image on the menu select Image Size). Here are four ways to save as TIFF (generally the way in which image files are saved) or EPS (gen- erally the way in which files are saved which contain lines or text): Option 1. Use the Program’s Save As or Export option. If it exists, use the Export or Save As option in your vector program. This only works well when a dialogue box appears so that specific values for height, width and resolution can be typed in (as in the programs Canvas and CorelDraw). Anti-aliasing should be checked. Resolution values of 300 dots per inch or pixels per inch is for images, 600 dpi is for images with text and 1200 dpi is for text, graphs and drawings. If no dialogue box exists to type in these values, go to option 2 - 4. -
User's Guide to NIST Biometric Image Software (NBIS)
NISTIR 7392 2007 User's Guide to NIST Biometric Image Software (NBIS) Craig I. Watson ([email protected]) Michael D. Garris ([email protected]) Elham Tabassi ([email protected]) Charles L. Wilson ([email protected]) R. Michael McCabe ([email protected]) Stanley Janet ([email protected]) Kenneth Ko ([email protected]) National Institute of Standards and Technology Bldg. 225, Rm. A216 100 Bureau Drive, Mail Stop 8940 Gaithersburg, MD 20899-8940 i ACKNOWLEDGEMENTS We would like to acknowledge the Federal Bureau of Investigation and the Department of Homeland Security who provided funding and resources in conjunction with NIST to support the development of this fingerprint image software. NOTE TO READER This document provides guidance on how the NIST Biometric Image Software (NBIS) non- export controlled packages are installed and executed. Its content and format is one of user's guide and reference manual. Some algorithmic overview is provided, but more details can be found in the cited references. The Table of Contents provides the reader a map into the document, and the hyperlinks in the electronic version enable the reader to effectively navigate the document and locate desired information. These hyperlinks are unavailable when using a paper copy of the document. Any updates to this software will be posted NIST Image Group’s Open Source Sever (NIGOS). ii TABLE OF CONTENTS 1. INTRODUCTION ...................................................................................................................................................... 1 2. -
Image File Formats
Glossary Image File Formats Glossary of File Formats and Imaging Terminology JPEG: stands for “Joint Photographic Experts Group.” It’s the most common format for storing digital camera photographs or scanned images. It is a “lossy” compression format, meaning it shrinks the files by discarding the information that the human eye cannot perceive. JPEGs are widely supported and used on the web, for example when sharing images through email. They have several compression level options. TIFF: stands for “Tagged Image File Format” and is one of the most widely supported file formats for storing bit-mapped images on personal computers (both PCs and Macintosh computers). TIFF files can be any resolution, and can be black and white, gray-scaled, or color. Used for high-quality images (lossless compression). TIFF format is widely supported by image-manipulation applications such as Photoshop by Adobe. GIF(F): stands for “Graphics Interchange Format.” A bit-mapped file format used for graphics as opposed to photographic images. GIF supports 8-bit color (maximum of 256 colors, compared to JPEGs 16 million colors.) They are widely used on the Web because the files compress well. GIFs include a color table including the most representative 256 colors used. Not recommended for files with a lot of color shading! PNG: stands for “Portable Network Graphics.” PNG files contain a bitmap of indexed colors and use lossless compression. They are similar to GIF files, but differ in that they do not have copyright limitations. PNG files are typically used to store graphics for web images and also have the ability to preserve transparency. -
Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study
ISSN (Print) : 0974-6846 Indian Journal of Science and Technology, Vol 9(6), DOI: 10.17485/ijst/2016/v9i6/77739, February 2016 ISSN (Online) : 0974-5645 Implementation of RGB and Grayscale Images in Plant Leaves Disease Detection – Comparative Study K. Padmavathi1* and K. Thangadurai2 1Research and Development Centre, Bharathiar University, Coimbatore - 641046, Tamil Nadu, India; [email protected] 2PG and Research Department of Computer Science, Government Arts College (Autonomous), Karur - 639007, Tamil Nadu, India; [email protected] Abstract Background/Objectives: Digital image processing is used various fields for analyzing differentMethods/Statistical applications such as Analysis: medical sciences, biological sciences. Various image types have been used to detect plant diseases. This work is analyzed and compared two types of images such as Grayscale, RGBResults/Finding: images and the comparative result is given. We examined and analyzed the Grayscale and RGB images using image techniques such as pre processing, segmentation, clustering for detecting leaves diseases, In detecting the infected leaves, color becomes an level.important Conclusion: feature to identify the disease intensity. We have considered Grayscale and RGB images and used median filter for image enhancement and segmentation for extraction of the diseased portion which are used to identify the disease RGB image has given better clarity and noise free image which is suitable for infected leaf detection than GrayscaleKeywords: image. Comparison, Grayscale Images, Image Processing, Plant Leaves Disease Detection, RGB Images, Segmentation 1. Introduction 2. Grayscale Image: Grayscale image is a monochrome image or one-color image. It contains brightness Images are the most important data for analysation of information only and no color information.