Extracting and Labelling the Objects from an Image by Using the Fuzzy Clustering Algorithm and a New Cluster Validity
學年 101
學期 2
發表日期 2013-02-24
作品名稱 Extracting and Labelling the Objects from an Image by Using the Fuzzy Clustering Algorithm and a New Cluster Validity
作品名稱（其他語言）
著者 Chou, Chien-Hsing; Hsieh, Yi-Zeng; Su, Mu-Chun; Chu, Yung-Long
作品所屬單位 淡江大學電機工程學系
出版者 IACSIT Press
會議名稱 2013 2nd International Conference on Information Computer Application (ICICA 2013)
會議地點 羅馬, 義大利
摘要 Many real-world and man-made objects are line symmetry. To detection the line-symmetry objects from an image, in this paper, a new cluster validity measure which adopts a non-metric distance measure based on the idea of "line symmetry" is presented. The thresholding technique is first applied to extract the objects from the original image; and the object pixels are transferred to be the data patterns. Then the fuzzy clustering algorithm is applied to label the object pixels; and the proposed validity measure is used in determining the number of objects. Simulation results are used to illustrate the performance of the proposed measure.
關鍵字 extract object;cluster validity;clustering algorithm;line symmetry;similarity measure
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20130224~20130225
通訊作者
國別 ITA
公開徵稿 Y
出版型式
出處 2013 2nd International Conference on Information Computer Application (ICICA 2013), 3p.
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