A modified homomorphic approach on invariant features of object images

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/46259

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題名:	A modified homomorphic approach on invariant features of object images
作者:	Lin, Yung-tsan;Fang, Ning;Cheng, Ming-chieh;Chiang, Shu-min
貢獻者:	淡江大學電機工程學系
關鍵詞:	Image segmentation;features;homomorphic system;Walsh transform;invariant moments;skewness;kurtosis
日期:	1993-06
上傳時間:	2010-03-26 21:45:08 (UTC+8)
出版者:	Amsterdam: Elsevier BV
摘要:	A homomorphic system based approach for extracting invariant features of object images is proposed in this paper. By this approach, the statistical values such as mean, variance, skewness, and kurtosis are calculated from the Walsh-domain intensity histogram of the object image. It is found that the statistical characteristics of this histogram are invariant under different environments of the object image such as translation, rotation, scale change, illumination change, and noise corruption. Hence these values can be used as features of the object image and applied to check whether the object is locked on or not during the tracking phase in an image tracking system. By experimental results, we find that these features keep close or better performance compared with the well known invariant moments methods for TV or FILR images, respeectively.
關聯:	Pattern recognition letters 14(6), pp.453-463
DOI:	10.1016/0167-8655(93)90024-8
顯示於類別:	[電機工程學系暨研究所] 期刊論文

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