Multillevel Approach for Color Image Segmentation
نویسندگان
چکیده
An adaptive neural network system for color image segmentation is proposed here. The system consists of a neural network that performs the segmentation using multilevel thresholding activation function. The supervised neural network used learns with help of back propagation algorithm. The system finds the threshold and target values for the segmentation based on the derivative of histogram of saturation intensity in the HSV color model. The main advantage of this method is that, it segments the color image without priori knowledge of the image.
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