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Báo cáo hóa học: "Review Article Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Review Article Building Local Features from Pattern-Based Approximations of Patches: Discussion on Moments and Hough Transform | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2009 Article ID 959536 10 pages doi 10.1155 2009 959536 Review Article Building Local Features from Pattern-Based Approximations of Patches Discussion on Moments and Hough Transform Andrzej Sluzek School of Computer Engineering Nanyang Technological University Blk N4 Nanyang Avenue Singapore 639798 Correspondence should be addressed to Andrzej Sluzek assluzek@ntu.edu.sg Received 30 April 2008 Accepted 24 October 2008 Recommended by Simon Lucey The paper overviews the concept of using circular patches as local features for image description matching and retrieval. The contents of scanning circular windows are approximated by predefined patterns. Characteristics of the approximations are used as feature descriptors. The main advantage of the approach is that the features are categorized at the detection level and the subsequent matching or retrieval operations are thus tailored to the image contents and more efficient. Even though the method is not claimed to be scale invariant it can handle as explained in the paper image rescaling within relatively wide ranges of scales. The paper summarizes and compares various aspects of results presented in previous publications. In particular three issues are discussed in detail visual accuracy feature localization and robustness against visual intrusions. The compared methods are based on relatively simple tools that is area moments and modified Hough transform so that the computational complexity is rather low. Copyright 2009 Andrzej Sluzek. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. Introduction It has been well demonstrated in numerous reports on physiology of vision e.g. 1 2 that in general humans perceive known objects as collections of local visual saliencies. Several .