教師資料查詢 | 類別: 期刊論文 | 教師: 蔡奇謚 Chi-yi Tsai (瀏覽個人網頁)

標題:Real-time automatic multilevel color video thresholding using a novel class-variance criterion
學年103
學期2
出版(發表)日期2015/04/01
作品名稱Real-time automatic multilevel color video thresholding using a novel class-variance criterion
作品名稱(其他語言)
著者Tsai, Chi-Yi; Liu, Tsung-Yen
單位淡江大學電機工程學系
出版者Heidelberg: Springer
著錄名稱、卷期、頁數Machine Vision and Applications 26(2-3), pp.233-249
摘要Color image segmentation is a crucial preliminary task in robotic vision systems. This paper presents a novel automatic multilevel color thresholding algorithm to address this task efficiently. The proposed algorithm consists of a learning process and a multi-threshold searching process. The learning process learns the color distribution of an input video sequence in HSV color space, and the multi-threshold searching process automatically determines the optimal multiple thresholds to segment all colors-of-interest in the video based on a novel class-variance criterion. For the learning process, a simple and efficient color-distribution learning algorithm operating with a color-pixel extraction method is proposed to learn a color distribution model of all colors-of-interest in the video images, which simplifies the search for optimal thresholds for the colors-of-interest through a conventional multilevel thresholding method. For the multi-threshold searching process, a nonparametric multilevel color thresholding algorithm with an extended within-class variance criterion is proposed to automatically find the optimal upper bound and lower bound threshold values of each color channel. Experimental results validate the performance and computational efficiency of the proposed method by comparing with three existing methods, both visually and quantitatively.
關鍵字Multi-object segmentation;Nonparametric multilevel color thresholding;Extended within-class variance;Automatic multi-threshold searching
語言英文
ISSN1432-1769
期刊性質國外
收錄於SCI;EI;
產學合作
通訊作者
審稿制度
國別德國
公開徵稿
出版型式,電子版,紙本
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