By Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaichang Di
This ebook constitutes the refereed court cases of the tenth chinese language convention on Advances in photograph and photographs applied sciences, IGTA 2015, held in Beijing, China, in June 2015. The 50 papers offered have been conscientiously reviewed and chosen from 138 submissions. they supply a discussion board for sharing new points of the progresses within the components of photograph processing know-how, picture research und figuring out, desktop imaginative and prescient and development reputation, significant info mining, special effects and VR, snapshot know-how application.
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Extra info for Advances in Image and Graphics Technologies: 10th Chinese Conference, IGTA 2015, Beijing, China, June 19-20, 2015, Proceedings
Compared to RGB color space, Lab color space is a uniform space. Two colors approximate in vision sense are adjacent in Lab color space . Furthermore, brightness and color are separated, which is beneficial to detect motion targets. In printing industry, color-difference needs computed when assessing the quality and controlling the process of copied color. The color-difference in Lab color space is widely used  and color-difference formulas frequently used are CIE1976Lab colordifference formula, CMC(l:c)1984 color-difference formula and CIEDE2000 colordifference formula .
8. Variation Curve of Average Height at Different Temperatures versus Time 26 G. Xiao et al. Figure 8 shows the change curve of the fish at different temperature versus time. The fish average height changes according to water temperature. When water temperature is 27°, the average height is low and fishes almost swim at the bottom. When the temperature is 35°, the average height is evidently higher and some fish float. When it is 40° which is lethal to red carps, we find out that the fish average height fluctuates sharply, and such fluctuation increases as time lasts.
18–27, 2015. 1007/978-3-662-47791-5_3 Semantic Description of Fish Abnormal Behavior Based on the Computer Vision 19 the eigenvalue from the records is still challenging. Lu et al.  designed a kind of fish behavior automatic monitoring software (system) based on computer vision, by which changes in body color and swimming speed of fish group can be timely monitored to determine the unusual behavior of fish group. Michael J. Barry demonstrate a novel method for measuring the effects of toxicants on the behavior of groups of unmarked fish, absolute swimming velocity, by using Ctrax the fish’s forward swimming velocity, rate of change in orientation and distance to wall were calculated in a small arena.
Advances in Image and Graphics Technologies: 10th Chinese Conference, IGTA 2015, Beijing, China, June 19-20, 2015, Proceedings by Tieniu Tan, Qiuqi Ruan, Shengjin Wang, Huimin Ma, Kaichang Di