Image segmentation algorithm based on coevolution with texture and gray scale
基于纹理与灰度协同进化的图像分割算法

To obtain better segmentation effect, Local Binary Patterns (LBP) and gray-scale characteristics were brought into the framework of Cooperative Coevolutionary Algorithm (Co-CEA) successfully in this paper. LBP and gray-scale characteristics were firstly encoded, and then evolution operation was carried out using Co-CEA, Finally, the division of region was fixed by the united fitness function. Result shows that this method has very good effect in improving the quality of segmentation and lowering the time complexity.