考虑到亮度变化和颜色纯度的图像分割法

提出了一种新的考虑到亮度变化和颜色纯度的图像分割方法.使用HIS颜色空间来取得象素的颜色信息.当饱和度和亮度值较低时,色彩值会非常敏感,用颜色纯度作色彩值的加权值.不但考虑了像素的属性,还考虑了像素群的属性.图像先被分成块,块的平均值和方差值作为像素群的属性.用基于块的领域扩张来进行图像分割.用向量距离和相对位置信息把小的对象合并到大的对象中.实验结果证明,该方法适用于多种图像.

Image Segmentation Considering Intensity Roughness and Color Purity

A novel method to segment image is proposed considering the intensity roughness and the color purity. HIS color space is used to express pixel color information. Not only the pixel properties but also the pixel group properties are considered. An image is divided into blocks. For each block, the mean and variance values can be seen as the pixel group properties. Because the hue value will be very sensitive when the intensity and saturation values are small, the color purity is used as the weight on the hue value. The image segmentation is done with the approach of the combination of region growing based on block and vector quantization. The experiments confirm this method is suitable for many kinds of images.