Image segmentation by region growing method is

robust fast and very easy to implemented, but it suffers from:

the threshold problem, initialization, and sensitivity to noise.

Genetic algorithms are particular methods for optimizing

functions they have a great ability to find the global

optimum of a problem. In this paper, we used genetic

algorithms to get over the threshold problem. We have

proposed a segmentation method based on region growing

and genetic algorithms.-Image segmentation by region growing method is

robust fast and very easy to implemented, but it suffers from:

the threshold problem, initialization, and sensitivity to noise.

Genetic algorithms are particular methods for optimizing

functions　they have a great ability to find the global

optimum of a problem. In this paper, we used genetic

algorithms to get over the threshold problem. We have

proposed a segmentation method based on region growing

and genetic algorithms.