A CG Generation Method of Wash Drawing

A CG Generation Method of Wash Drawing

NAOSITE: Nagasaki University's Academic Output SITE Title A CG Generation Method of Wash Drawing Author(s) Tomohiro, Shinichiro; Imamura, Hiroki; Kuroda, Hideo; Fujimura, Makoto 2009 International Conference on Complex, Intelligent and Software Citation Intensive Systems, pp.1024-1029; 2009 Issue Date 2009-03 URL http://hdl.handle.net/10069/22320 © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional Right purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This document is downloaded at: 2020-09-17T23:33:21Z http://naosite.lb.nagasaki-u.ac.jp International Conference on Complex, Intelligent and Software Intensive Systems A CG Generation Method of Wash Drawing Shinichiro Tomohiro * Hiroki Imamura ** Hideo Kuroda * Makoto Fujimura ** *Graduate School of Science and Technology, Nagasaki University **Faculty of Engineering ,Nagasaki university {F08314,Imamura,kuroda,makoto}@cc.nagasaki-u.ac.jp Abstract We focus on the feature of wash drawing and aim at the proposal of wash drawing CG generation technique The opportunity of process the image increases, the research on generating the image like the painting became on important in recent years. Generally individual image blog shape contents open to the public chance is increase. In the painting, the drawing in ink and wash has the feature with a framing of the outline of the Iras key of G and an especially light color. Generally, it is a technique for coloring in the watercolor with a high transparency after it sketches with the pencil etc. and the brush. The outline of the Fig 1: Photo real CG Fig 2: Non-photo real CG image is extracted to reproduce this technique, and the stroke of the brush is reproduced. Coloring segments the 2. Feature of wash drawing area according to the inclination, and smoothes the inside. To aim at the generation of wash drawing CG in this research, the feature of the wash drawing is considered. 1 . Introduction The wash drawing is a technique for putting blight, peculiar colors after sketching and the outline is Recent years, sending contents privately becomes drawn[3]. Drawing of the wash drawing and is done in possible by spread of computers and the development of general as follows. First, the object is sketched with the the Internet. Up to now, the enterprise etc. had delivered pencil etc. The sketch draws the outline, and the shadow contents. Recently, The opportunity that the individual is not applied. Painting materials used to sketch are with delivers contents through the Internet has increased . a pencils and brush, and not chiefly so blotted. Next, it However, because the technology, the experience, and colors. Coloring lightly puts blight, peculiar colors. time, etc. are necessary for making contents, the However, because the transparency is important, the generation of contents is privately difficult. Therefore, color mixture and the piling paint are reduced. This is the technique for easily generating contents is hoped for. because the colors dulled when a lot of paints are mixed. The computer graphics (CG) became one of the Moreover, the place not to be painted either exists. Paints important contents. used to paint are watercolor with high transparency. The CG chiefly divides into a photo real and non-photo real outline uses the pencil and the brush. Paints use the as an expression. A photo real is an expression technique watercolor with a high transparency. Because the for bringing it close to the more photograph taken from watercolor and wash drawing use the same paints .Those life with real CG as shown in Figure 1. Non-photo real is methods have the same features. CG of a hand-written style shown Figure 2. There are Figures 3 and 4 show the example of the wash two generation techniques of CG in non-photo real. One drawing . Figures 5 and 6 show the example of the is a method which draws by human using the paint watercolor. The feature of the wash drawing and the software. Another is a technique for generating by watercolor is summarized in Table 1. computers autonatically. The techniques of oil painting style CG [1]and the watercolor style CG[2], etc. are proposed as an expression of CG of non-photo real by computers automatically . 978-0-7695-3575-3/09 $25.00 © 2009 IEEE 1024 DOI 10.1109/CISIS.2009.102 Table 1 :Comparison between wash drawing and wash with watercolor 3. Proposal technique drawing in ink watercolor Outline Framing. Not framing. The wash drawing is a technique for drawing clear feature outlines, and putting blight, peculiar colors on that. Vividness Subtle colors Normal colors Therefore, the proposal technique divides into the drawing processing and the coloring processing in the brightness Bright or dark Bright outline. Figure 7 shows the flow chart of the proposal technique. Input image Convert RGB into HSV space Processing of noise exclusion Fig 1: Example of wash drawing #1 Drawing outline Coloring processing Processing of edge Area division processing extraction Processing of clustering Processing of transformation to binary Processing of painting Processing of line thinning Fig 2: Example of wash drawing #2 Processing of trace Processing of brushstrokes Convert HSV into RGB space Output image Fig 4: Example of water color #1 Fig 7: Flow chart of proposal technique 3.1. Preprocessing In this section, we show the preprocessing before the drawing processing and the coloring processing in the outline. Fig 5 :Example of water color #2 1025 3.1.1. Conversion RGB into HSV space Th. Because the appropriate threshold of Th is different in the part of the image, we decide the appropriate In general, the image data uses RGB space. RGB space threshold of Th based on standard divition expressed by expresses the color by three parameters, in a word, (Equation (4)),where (Equation (3)-(7)). red(R), green(G), and blue(B). When the color brightness, and vividness are changed, it is necessary to 1 x + 4 y + 4 (3) change all of the three parameters. So we convert RGB E x , y = å å X j ,k into the HSV space. The HSV space expresses the color 5 ´ 5 j = x - 4 k = y - 4 by the parameter of hue(H), the saturation(S), and 1 x + 4 y + 4 (4) V = (E - X ) value(V). There is an advantage that we can change x , y å å x , y j , k 5 ´ 5 j = x - 4 k = y - 4 colors intuitively. (5) s x , y = V x , y (6) 3.1.2. Noise exclusion Ed x , y = s x , y + 1 Because the noise has mixed with the input image, we ì0(X x, y < Ed x, y ) X x,y = í (7) exclude noise. The purpose is to undertake a big 1(X < Ed ) influence when the noise mixes to the edge extraction î x, y x, y processing. We use general median filter for noise exclusion. 3.2.3. Line thinning processing 3.2. Drawing outline Because the width of the line is bold, and outline drawing in lines position cannot be uniquely specified on We show explains processing that expresses the outline the outlines. Then, it is necessary to process the line of the wash drawing. The profile line is extracted to thinning that thinly adjusts the stroke width to one. The express the outline of the wash drawing, and the outlines line thinning is removes a corresponding one to the are drawn while tracing it. operator in Figure 8[5][6]. 3.2.1. Processing of edge extraction To extract the outline of the image, we execute edge extraction. The first derivation is taken for pixel f(j,k) that includes the input pixel[4]. The first derivation is squared to have to extract the outline clearly and the outline is extracted clearly. X regularizes it so that the Fig 8 : Line thinning operator maximum value may become 255. Because the difference 3.2.4. Processing of trace of the place that it is an outline and is not the outline become large, the outline can be extracted more clearly. After processing of the line thinning, irregularities of The expression of the edge extraction is expressed lines are generated. To smooth the lines, we execute the equation (1) and regularization is expressed equation (2). following processing. First we trace the thing lines, then The output image that regularizes the input image in make node, connect each node. We set the interval of the f(j,k) is expressed as the X(j,k). node as 10 pixels. j+1 k +1 1 2 (1) g j ,k = ( f j,k - f i,t ) 3.2.5. Processing of brushstrokes 8 å å i= j -1 t = k -1 g ´ 255 In case of only connecting the nodes, the connected of X = j , k (2) j ,k MAX (g ) lines are generated. Therefore, we make it smooth by j,k interpolation of nodes. We use figure 10 method for 3.4.2. Processing of transformation binary interpolation of nodes. Then we trace the smoothed line by blush models shown in Figure 11. In this process, we We set the values of the image intensity as 1, if the first use thin blush model, then we use bolder blush value of the image intensity is larger than threshold Th, models. As an example, we show the input image and on the other hand, we set that as 0, if that is smaller than processed image in figure 12 and figure 13 respectively.

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