Multi‐directional colour edge detector using LQS convolution

A FUZZY DIFFERENCE BASED EDGE DETECTOR

In this paper, a new algorithm for edge detection based on fuzzyconcept is suggested. The proposed approach defines dynamic membershipfunctions for different groups of pixels in a 3 by 3 neighborhood of the centralpixel. Then, fuzzy distance and -cut theory are applied to detect the edgemap by following a simple heuristic thresholding rule to produce a thin edgeimage. A large number of experime...

Extended ratio edge detector for despeckled SAR image evaluation

Synthetic aperture radar (SAR) images due to the usage of coherent imaging systems are affected by speckle. So lots of despeckling filters have been introduced up to now to suppress the speckle. Hence, objective and subjective evaluation of the denoised SAR images becomes a necessity. Thereby lots of objective evaluating estimators are introduced to evaluate the performance of despeckling filte...

Semantic Image Segmentation using Canny-Edge Detector

Semantic Image Segmentation (SIM) is one of the most important areas of image processing. It is used in different fields like robotics, satellite imaging, Biometric verification etc. Image segmentation system depends mainly on two processes, i.e. image feature extraction and object class learning. Some of the researchers have exploited image feature like Texton-Feature, by the help of Texton fe...

Canny edge detector

Thin Edge Detector

Most of edge detectors are based on detecting points in the image with a high gradient value. However, in general, they omit the idea that the edge must be a connected line of pixels. Instead of that, these techniques normally use a global threshold value, to control the quantity of edge points detected. Due to this, many other edge points are detected, but some of them do not really belong to ...