A modified homomorphic approach on invariant features of object images
學年 81
學期 2
出版(發表)日期 1993-06-01
作品名稱 A modified homomorphic approach on invariant features of object images
著者 Lin, Yung-tsan; Fang, Ning; Cheng, Ming-chieh; Chiang, Shu-min
單位 淡江大學電機工程學系
出版者 Amsterdam: Elsevier BV
著錄名稱、卷期、頁數 Pattern recognition letters 14(6), pp.453-463
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.
關鍵字 Image segmentation; features; homomorphic system; Walsh transform; invariant moments; skewness; kurtosis
語言 en
ISSN 0167-8655 1872-7344
期刊性質 國外
國別 NLD
出版型式 紙本

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46259 )