In this paper, we present a new method for automatic road tracking and extraction from satellite images. Our method is a kind of global and parallel method. It includes the following three parts: I ) an edge detector is applied and the satellite image is transfered into binary edge map (EM). 2) we propose a special kind of energy function with marginal effect to represent each edge chain in the...

A digitized waveform is approximated by segments whose total description length is minimal for a given error bound. This approximation can be computed efficiently, and can be used for segmentation. The method is also shown to be applicable for segmentation and edge detection in gray level and range images.

This paper presents an improved edge detection algorithm for facial and remotely sensed images using vector order statistics. The developed algorithm processes coloured images directly without been converted to grey scale. A number of the existing algorithms converts the coloured images into grey scale before detection of edges. But this process leads to inaccurate precision of recognized edges...

The following paper discusses the topic of edge detection in X-ray hand images. It criticises existing solution by highlighting a design fault, which is a carelessly chosen function and then proposes a way to eliminate the fault by replacing it with better suited function. The search for this function and its results are also discussed in this paper. It also presents the aspect of preand postpr...

In this paper a new approach for blurred image restoration is presented. Our algorithm is based on human vision which zooms back and forth in the image in order to identify global structures or details. Deconvolution parameters are estimated by an edge detection and correspond to the ones of a chosen edge detection model. The segmentation is obtained by merging multiscale information provided b...

skin cancer has been the most usual and illustrates 50% of all new cancers detected each year. if they detected at an early stage, treatment can become simple and economically. accurate skin lesion segmentation is important in automated early skin cancer detection and diagnosis systems. the aim of this study is to provide an effective approach to detect the skin lesion border on a purposed imag...

This lecture summary deals with the low level image processing task of edge detection. Edges are discontinuities, significant local changes, in image intensities which arise from three sources: (1)projection of 3D contours (2)texture present on the 3D surfaces (3)shadows cast by the imaged objects. The summary includes the classical derivative based operators due to Canny [2], and Marr [7] and ...

In this paper, first, I will give a brief concept about what the edge and corner is, and for what purpose of catching that information. Then I introduce several popular methods to detect edges and corners and give some experimental results. In early researches, usually the edge enhancement operators have been derived heuristically. We will see that an analytic approach to the design of these op...

This paper presents a new method for edge detection in digital image processing. Edge detection is based on the values of class ratio, a concept given in grey system theory. Since edges of an image correspond to intensity variation, according to the definition of class ratio, steeper edge results in larger class ratio while smoother intensity change result in small class ratio. To the aim of ed...