A.V. Nandedkar, K. Suresh, and A.K. Rathod (India)
Image segmentation, adaptive thresholding, and errorback propagation neural network system.
An adaptive Neural Network system for automatic image segmentation and edge detection is proposed in this paper. This system performs image segmentation by adaptive thresholding. It automatically obtains threshold values from the first order derivative of the smoothed histogram of the input image. It uses neural network architecture for adaptive thresholding. This system does not require a priori assumptions whatsoever are made about the image (type, features, contents, stochastic model, etc.). Such algorithms are most useful for applications that are supposed to work with different (and possibly initially unknown) types of images.
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