Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...

Image processing plays an important role in computer vision. The process of image segmentation provides the partition of image into different segments according to their feature attribute. Region based segmentation is a type similarity based segmentation. Another type of segmentation is called thresholding based segmentation. In thresholding based segmentation method some thresholding technique...

In this paper, we study the performances of a large class of procedures, called μ-thresholding rules. At first, we exhibit the maximal spaces (or maxisets) where these rules attain given rates of convergence when considering the Besov-risk. Then, we point out a way to construct μ-thresholding rules for which the maxiset contains the hard thresholding rule’s one. In particular, we prove that pro...

In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thr...

The paper addresses the problem of image segmentation in 2D domain by means of maximizing rough entropy measure in granular computing setting. Proposed 2D multilevel rough entropy thresholding extends multilevel thresholding scheme into 2D image thresholding. Proposed thresholding algorithm 2D MRET has been compared with standard multilevel thresholding based on Otsu method. Experimental result...

Image thresholding is an important task both for digital image processing applications and for pattern recognition. Image segmentation by thresholding is the simplest technique. In this study, we intent to carry out a comparative study of entropic thresholding methods. We examine several entropic thresholding methods which are the most popular in the literature. These methods are minimum cross ...

In this paper we introduced new wavelet based algorithm for speckle reduction of synthetic aperture radar images, which uses combination of undecimated wavelet transformation, wiener filter (which is an adaptive filter) and mean filter. Further more instead of using existing thresholding techniques such as sure shrinkage, Bayesian shrinkage, universal thresholding, normal thresholding, visu thr...