Image edge gradient direction not only contains important information of the shape, but also has a simple, lower complexity characteristic. Considering that the edge gradient direction histograms and edge direction autocorrelogram do not have the rotation invariance, we put forward the image retrieval algorithm which is based on edge gradient orientation statistical code (hereinafter referred t...

This document provides a general idea of what edge-detection is and how it works, Eg., for Computer vision etc., Edge detectors are often operated with arbitrary parameters such as thresholds. Determining the significant values for these parameters on a trial and error basis may be a problem. It is therefore beneficial to try to understand edge-detection in terms of established quantitative met...

In this paper, we propose a Cellular Edge Detection (CED) algorithm which utilizes Cellular Automata (CA) and Cellular Learning Automata (CLA). The CED algorithm is an adaptive, intelligent and learnable algorithm for edge detection of binary and grayscale images. Here, we introduce a new CA local rule with adaptive neighborhood type to produce the edge map of image as opposed to CA with fixed ...

AbstructA novel algorithm is proposed for performing unsupervised tissue classification in medical images by combining conventional clustering techniques with edge-adaptive segmentation techniques. Based on the fuzzy C-means algorithm, the algorithm computes a smooth segmentation while simultaneously estimating an edge field. Unlike most tissue classification algorithms that incorporate a smoot...

In view of the limited anti-noise of traditional traffic lane edge detection algorithm, the paper put forward to a new traffic lane edge detection algorithm based on traditional mathematical morphology. For solving the problem of uneven road surface caused by illumination and rainy, this paper combine two method of morphological filter and Otsu to segment image and take the improved algorithm t...

in this paper the basic theory of a new edge detection algorithm is discussed, its application in image processing is analyzed and introduced as well. Considering the advantages of Grey system theory exploited in image edge detection, a mufti-scale morphological edge detection algorithm is proposed in this paper. At the end a new anti-noise edge detector is presented by improving the edge detec...

Background: To reduce uncertainties of patient positioning, the Computerized Tomography (CT) images acquired at the treatment planning time can be compared with those images obtained during radiation dose delivery. This can be followed during dose delivery procedure as Image Guided radiotherapy (IGRT) to verify the prescribed radiation dose delivery to the target as well as to monitor ...

This paper presents a lifting wavelet based edge detection algorithm for NaXi Pictographs, effectively reducing noises while improving the precision, which makes up the drawbacks of traditional edge detection. It is proved by emulation that compared with Laplace operator, Sobel operator, Canny operator, and multi-scale wavelet edge detection algorithm, this algorithm has better detection effect.

A necessary and sufficient condition for a graph to be minimally k-edge-connected where k is odd is presented. Based on this result, a divide-and-conquer algorithm to determine minimally k-edge-connected graphs is developed. Experiments are performed to check minimally 3-edge-connectivity. The results show that our algorithm is much more effective than the previously known best algorithm.