Color Image Segmentation Using Circular Histogram Thresholding

• Main Authors: Li Yao Fu, 李曜輔
• Other Authors: Tseng Din Chang
• Format: Others
• Language: en_US
• Published: 1994
• Online Access: http://ndltd.ncl.edu.tw/handle/42055582127526155434

碩士 === 國立中央大學 === 資訊及電子工程研究所 === 82 === A circular histogram thresholding for color image segmentation is proposed. At first, a hue circular histogram is constructed based on an UCS (I,H,S) color space. Next, the histogram is smoothed by a scale-space filter, then the circular histogram is transformed to a traditional histogram form. At last the histogram is recursively threshold based on the maximum principle of analysis of variance. Three comparisons of performance are reported, which are (1) the proposed thresholding on the circular histogram and a traditional histogram; (2) the proposed thresholding and clustering; (3) thresholding on hue attributes of UCS and non-UCS color spaces. Several benefits of proposed approach are identified in the experiments.