Proposes an image segmentation algorithm based on perceptual color clustering.
根据视觉的颜色聚类特性，提出一种图像分割算法。
The algorithm first has the image quantized and then clusters in the quantized color space with prior segmentation information.
算法首先对图像进行量化处理，而后在量化后的色彩空间中集成先验的分割信息进行色彩聚类。
Color clustering is used to segment the fabric image, and a new algorithm of warp yarn segmentation is proposed to perform the identification more precisely.
为了提高单层组织自动识别的精度，运用颜色聚类等方法分割织物样图，并提出了一种经纱分割算法，实现了经纬纱线的准确分割。
Based on the border in the shot clustering algorithm, we proposed the method of using the camera frame color image characteristics and the overall situation of movement to the scene segmentation.
在基于镜头边界的聚类算法基础上，提出了利用镜头帧图像的全局颜色特征和运动特征来分割场景的方法。
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 negative effects of shading in a traffic color image on segmentation can be overcome to a great extent by using the proposed algorithm.
实验结果表明该算法很大程度上克服了阴影给图像分割带来的不利影响。
Experimental results show that the negative effects of shading in a traffic color image on segmentation can be overcome to a great extent by using the proposed algorithm.
实验结果表明该算法很大程度上克服了阴影给图像分割带来的不利影响。
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