Image Segmentation Using Adaptively Selected Color Space

摘要：

Image segmentation is an important and dififcult task in computer vision applications. Various methods have been introduced in the past to use gray-level histogram in deciding the segmentation threshold for monochrome images. With the reducing price of color cameras, different color spaces have also been considered in color image based segmentations. In this paper, a study of the effect of color spaces is presented and a segmentation strategy is introduced to select the most effective space in which the segmentation result could be improved. Experimental results show that the proposed method can provide robust segmentation outcomes subject to parts with different colors and under different illumination conditions.

作者: Gu Fang N. M. Kwok

作者单位: School of Engineering,University of Western Sydney,Penrith South DC 1797,Australia School of Mechanical and Manufacturing Engineering,The University of New South Wales,Sydney,NSW 2052

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Robotics and Biomimetics(2009 IEEE 机器人与仿生技术国际会议 ROBIO 2009)

会议地点: 桂林

会议语种:英文

页码: 1838-1843

在线出版日期: 2009-12-19（万方平台首次上网日期，不代表论文的发表时间）