This paper presents a fuzzy edge guided image sharpening technique. Sharpened image is obtained by subtracting the smoothed image of an input image from itself. Image smoothening is carried out with median filtering technique. Median filtering technique is a process of replacing the concerned pixel by the median value of pixels within a block as the concerned pixel is at center. Smoothening is ...

The aim of the paper is to remove the noise in the images and at the same time to preserve the edges, fine details and texture in the image. This paper proposes a novel Adaptive Neuro Fuzzy Inference System (ANFIS) filter to remove impulse, Gaussian and mixed noise without affecting edges and texture of an image. It is a hybrid filter constructed by combining an appropriate noise filter, an edg...

This paper proposes two edge detection methods for medical images by integrating the advantages of Gabor wavelet transform (GWT) and unsupervised clustering algorithms. The GWT is used to enhance the edge information in an image while suppressing noise. Following this, the k-means and Fuzzy c-means (FCM) clustering algorithms are used to convert a gray level image into a binary image. The propo...

A new approach used for image edge deduction, segmentation and normalization illumination under varying lighting conditions are presented. Edge detection refers to the process of identifying and locating sharp by applying smooth and noisy clinical technic in an image. It has favorable applications in the fields such as machine vision, pattern recognition, object recognition, motion analysis, pa...

A new fuzzy edge detector based on uninorms is proposed and deeply studied. The behaviour of different classes of uninorms is discussed. The obtained results suggest that the best uninorm in order to improve the edge detection process is the uninorm Umin, with underlying Lukasiewicz operators. This algorithm gets statistically substantial better results than the others obtained by well known ed...

The task of reducing the computational complexity contour detection in images is considered article. solution to achieved by modifying Canny detector and number passes through original image. In first case, two are excluded when determining adjacency central pixel with eight adjacent ones a frame size 3х3. second three excluded, as case third one necessary determine angle gradient direction. Th...

A new model is proposed in this paper on color edge detection that uses the second derivative operators and data fusion mechanism. The second-order neighborhood shows connection between current pixel surroundings of pixel. This for each RGB component input image. Once image edges are detected three primary colors: red, green, blue, these colors merged using combination rule. Then, final decisio...