Dimension reduction is the process of reducing the number of random variables under consideration, and can be divided into feature selection and feature extraction. Spectral regression discriminant analysis (SRDA) has recently been proposed as an efficient solution to large-scale subspace learning problems. There is a tunable regularization parameter in SRDA, which is critical to algorithm […]
IMAGE SEGMENTATION USING ITERATIVE TRICLASS THRESHOLDING TECHNIQUE
In image processing, segmentation is often the first step to pre-process images to extract objects of interest for further analysis. We present a new method in image segmentation that is based on Otsu’s method but iteratively searches for sub regions of the image for segmentation, instead of treating the full image as a whole region […]