In this paper two novel genetic clustering color image segmentation algorithms are proposed.
该文利用遗传算法对图像进行聚类分析，提出了两种新颖的图像分割算法。
The experimental results demonstrate that the color image segmentation results of the proposed algorithm hold favorable consistency in terms of human perception.
通过试验说明算法的分割结果与人的主观视觉感知具有良好的一致性。
Experimental results show that the proposed method is simple and work well for most images, and has better segmentation effect than the existing FCM color image segmentation.
实验结果表明，该算法可有效提高图像分割效果，其分割结果优于传统FCM聚类图像分割方案。
An efficient color image segmentation method is a foundation to the comprehension and application of image.
有效的图像分割是进一步进行图像高层次理解和应用的基础。
An efficient color image segmentation method is a foundation to the comprehension and application of image.
有效的图像分割是进一步进行图像高层次理解和应用的基础。
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