Dept. of Electron. and Electr. Eng., Surrey Univ., Guildford.
IEEE Trans Image Process. 1997;6(11):1530-44. doi: 10.1109/83.641413.
A new method is proposed for processing randomly textured color images. The method is based on a bottom-up segmentation algorithm that takes into consideration both color and texture properties of the image. An LUV gradient is introduced, which provides both a color similarity measure and a basis for applying the watershed transform. The patches of watershed mosaic are merged according to their color contrast until a termination criterion is met. This criterion is based on the topology of the typical processed image. The resulting algorithm does not require any additional information, be it various thresholds, marker extraction rules, and suchlike, thus being suitable for automatic processing of color images. The algorithm is demonstrated within the framework of the problem of automatic granite inspection. The segmentation procedure has been found to be very robust, producing good results not only on granite images, but on the wide range of other noisy color images as well, subject to the termination criterion.
提出了一种新的处理随机纹理彩色图像的方法。该方法基于自下而上的分割算法，该算法考虑了图像的颜色和纹理特性。引入了 LUV 梯度，它提供了颜色相似性度量和应用分水岭变换的基础。根据典型处理图像的拓扑结构，根据颜色对比度合并分水岭镶嵌的补丁，直到满足终止准则。该准则不需要任何其他信息，例如各种阈值、标记提取规则等，因此适用于彩色图像的自动处理。该算法在自动花岗岩检测问题的框架内得到了验证。分割过程非常稳健，不仅在花岗岩图像上，而且在广泛的其他噪声彩色图像上，只要满足终止准则，都能得到很好的结果。
