An edge detection scheme based on least squares support vector machine in a contourlet HMT domain
We detected edges using least squares support vector machine classification in Contourlet Hidden Markov Tree Model. The comparison of the denoising and detecting results obtained with our scheme, and with the best state-of-the-art denoising and detecting edges techniques. Results were carried out on images corrupted with both Gaussian noise and an impulsive noise.
contourlet hmt ls-svm classifier bayesshrink weighted average rule