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The researchs on image segmentation have been proposed in this decade. Segmentation is a mechanism of partiting image into homogeneous and specifik regions. Segmentation is fundamental step in image analysis, pattern recognition and computer vision. The results of image segmentation is very important as an input to image classification. Segmentation algorithm which had been proposed are region based [1], edge based [2], threshold base [3], fuzzy theory [4] and neural network base [5]. Region based algorithm consist of region splitting and merging method and region growing method. Region splitting and merging is formally based on quadtree data theory. In this algorithm image is divided or splitted into some set image which is arbritrary and disconnected regions, and these regions would be merge or split to meet the condition of segmentation. One of the improvement in region based algorithm had been published [6]. Edge based algorithm detecs edges or sharp variation in intensity of pixels. This sharp variation indicates the boundary of target. The result of segmentation depend on the accuracy of detection of sharp variation. The novel research on edge based by using the bacterial foraging had been proposed [7]. Artificial Neural Network mostly works or acts as a human brain. The important organs in human brain are dendrit, neuron and synapse. All these organ are mimiced in form of program in certain programming language. Many kinds architecture of antificial neural network had been used in many domain of resesarch, such as back propagation neural network, radial basis function (RBF) neural network, pulse coupled neural network (PCNN). Pulse Coupled Neural Network (PCNN) is claimed as third generation neural network , it is a mimic of the vision system or cortex of mamalia [8]. The mimic is formed in mathematical description, this concept was first put forward by Eckhorn then corrected by Johnson using a cortical concept so that it can be used in the field of image processing [9]. The advantage of PCNN is it can opearate without any training needed but it has the problem; all parameters in the equation have to be tuned [10]. Many researchers have used PCNNs in research on image segmentation, eliminating noise, edge ARTICLE INFO ABST RACT

A Novel Method for L Band SAR Image Segmentation Based on Pulse Coupled Neural Network