利用可见色差和canny边缘检测器进行彩色图像分割

2012 15th International Conference on Computer and Information Technology (ICCIT) Pub Date : 2012-12-01 DOI:10.1109/ICCITECHN.2012.6509727

A. G. Kibria, M. Islam

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引用次数: 5

摘要

本文提出了一种改进的JSEG彩色图像分割算法，利用可见色差和canny边缘检测器测量区域边界。该方法利用可见色差和canny边缘检测器对分割后的JSEG图像进行检测，解决了JSEG图像因光照变化所带来的主要固有问题。对Berkeley分割数据集的自然颜色进行了实验，对比经典的JSEG和分形-JSEG算法，得到了更好的分割效果。

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Color image segmentation using visible color difference and canny edge detector

This paper presents an improved version for the JSEG color image segmentation algorithm integrating visible color difference and canny edge detector to measure the boundary of the region. This method resolves the major inherent problem in JSEG caused by varying illumination using visible color difference and canny edge detector with JSEG segmented image. Experiments on natural color of Berkeley Segmentation Dataset are presented which show improved results in comparison with the classical JSEG and Fractal-JSEG algorithm.

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2012 15th International Conference on Computer and Information Technology (ICCIT)

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