Download Image and Graphics: 8th International Conference, ICIG 2015, by Yu-Jin Zhang PDF

By Yu-Jin Zhang

This ebook constitutes the refereed convention complaints of the eighth overseas convention on snapshot and portraits, ICIG 2015 held in Tianjin, China, in August 2015. The 164 revised complete papers and six precise factor papers have been rigorously reviewed and chosen from 339 submissions. The papers specialise in a number of advances of conception, thoughts and algorithms within the fields of pictures and graphics.

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Read or Download Image and Graphics: 8th International Conference, ICIG 2015, Tianjin, China, August 13-16, 2015, Proceedings, Part II PDF

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Additional resources for Image and Graphics: 8th International Conference, ICIG 2015, Tianjin, China, August 13-16, 2015, Proceedings, Part II

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IEEE Trans. Sys. Man. Cyber. com 2 The UAVLRS Collaborative Innovation Center, Xuchang University, Xuchang, China The PLA Information Engineering University, Zhengzhou, China Abstract. Efficiently UAV images mosaicking is of critical importance for the application of disaster management, in which fast image registration plays an important role. Towards fast and accurate image registration, the key design lies in the keypoint description, to which end SIFT and SURF are widely leveraged in the related literature.

Illustration of the feature extraction process. (a) Original RGB retinal image. (b) The green channel of the original image. (c) Shade-corrected image. (d) Vessel enhanced image. (e) The segmentation result with our proposed method. (f) The manual segmentation result by the first specialist (Color figure online). Vessel Enhanced Intensity Feature. Retinal images often contain background intensity variation because of uniform illumination, which deteriorates the segmentation results. Blood Vessel Segmentation of Retinal Images Based 13 In the present work, the shade-correction method mentioned in [15] is used to remove the background lightening variations.

Towards fast and accurate image registration, the key design lies in the keypoint description, to which end SIFT and SURF are widely leveraged in the related literature. However, the expensive computation and memory costs restrict their potential in disaster management. In this paper, we proposed a novel keypoint descriptor termed CBDF (Compressed Binary Discriminative Feature). A cascade of binary strings is computed by efficiently comparing image gradients static information over a log-polar location grid pattern.

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