Abstract
Segmentation of the image region is an important processing in image analysis. It is essential to divide the region into components of image in an image coding application. We introduce a structural segmentation method for scene image using four-structural split and merging technique of neighboring regions together with the genetic algorithm. First, pseudo KL transform is applied for the original image to reduce brightness correlation between RGB planes. Next, the split-merge technique is practiced to the planes. Finally, When small unsegmented region exist particularly around the boundary, the genetic algorithm is utilized to optimize the segmentation. The effectiveness of the method is examined in the simulations.
