By Tieniu Tan, Guoping Wang, Shengjin Wang, Yue Liu, Xiaoru Yuan, Ran He, Sheng Li
This booklet constitutes the refereed court cases of the eleventh chinese language convention on picture and pix applied sciences and purposes, IGTA 2016, held in Beijing, China in July 2016.
The 27 papers awarded have been conscientiously reviewed and chosen from sixty nine submissions. they supply a discussion board for sharing progresses within the components of picture processing know-how; snapshot research and realizing; desktop imaginative and prescient and trend acceptance; mammoth facts mining, special effects and VR; in addition to photo know-how applications.
Read Online or Download Advances in Image and Graphics Technologies: 11th Chinese Conference, IGTA 2016, Beijing, China, July 8-9, 2016, Proceedings PDF
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Extra resources for Advances in Image and Graphics Technologies: 11th Chinese Conference, IGTA 2016, Beijing, China, July 8-9, 2016, Proceedings
Typical set: The proposed algorithm in this paper. Handwork: Count by mankind. 6 Conclusion According to the probability of circle is much higher than other shapes of gems, we deﬁnite the typical gems. Furthermore we select out the gems with high circularity as single typical gems. Here we complete the gems counting just use the characters of typical gems and the relationship between the number and the area, hence the counting is adaptive. With the help of mechanical device, the whole counting process can be 26 M.
2% 53 2 Note. The algorithms in Table 1 are as follows. Regions: Use the number of the connected regions; Mean Area: Use the mean area of connected regions as the area of a signal gem instead of the mean area of typical gems; Morphology: Do morphological corrosion with circle element whose radius is 50% of the radius of mean area of connected regions to separate adhesive gems. Typical set: The proposed algorithm in this paper. Handwork: Count by mankind. 6 Conclusion According to the probability of circle is much higher than other shapes of gems, we deﬁnite the typical gems.
The formula (3) can be redeﬁned by Sobel operator: (4) The Sn denotes Sobel template in  and C represents convolution function, Dmin denotes the maximum correlation of direction. Therefore, interpolation of pixels along the minimum diﬀerential Dmin direction. Figure 3(a) shows the sample of surrounding pixels, the correlation that exists between a damaged MB and its adjacent MBs is relatively high. Therefore, the ﬁrst and second line of the boundary pixels are used to recover lost pixels. In (b), P-number is obtained from the surrounding correctly received pixel in Fig.