The paper propose a new procedure including four stages in order to preserve the desired edges during the image processing of noise reduction. A denoised image can be obtained from a noisy image at the first stage of the procedure. At the second stage, an edge map can be obtained by the Canny edge detector to find the edges of the object contours. Manual modification of an edge map at the third...

This paper represents algorithm for recognition of the coins of different denomination. The proposed system first uses a canny edge detection to generate an edge map, then uses CHT (Circular Hough transform) to recognize the coins and further find the radii of them. Based on the radius of the coin, the coins of different denomination are classified. The experimental result shows that the Hough ...

Abstract Edge detection is at the forefront of image processing for object detection, so a good understanding edge algorithms essential. This paper aims to analyze ability combined methods identify images, through comparison two different methods, namely combination Sobel and Prewitt (Sobel+Prewitt) with Roberts Canny (Roberts+Canny). The analysis process uses dataset Passion Flower Images obta...

In this paper, we propose a parallel genetic algorithm for cell image segmentation under severe noise. Our contribution aims at overcoming the drawback of the slow convenence of the traditional genetic algorithm, which was used in our previous work. A priori knowledge about cell shape is incorporated in our method. That is, an elliptical cell contour model is introduced to describe the boundary...

We introduce an edge detection and recovery framework based on open active contour models (snakelets). This is motivated by the noisy or broken edges output by standard edge detection algorithms, like Canny. The idea is to utilize the local continuity and smoothness cues provided by strong edges and grow them to recover the missing edges. This way, the strong edges are used to recover weak or m...

This paper discusses the poor performance of the Canny edge detector at junctions formed by three edges, where connectivity is usually destroyed in an arbitrary way. This problem is shown to be due to the non-maximal suppression algorithm, used to identify points of inflection in the grey-level surface. A method to overcome the problem, based on local evidence in the gradient vector, is reporte...

Relational Over the last two decades, the advances in computer vision and pattern recognition power have opened the door to new opportunity of automatic facial expression recognition system[1]. This paper use Canny edge detection method for facial expression recognition. Image color space transformation in the first place and then to identify and locate human face .Next pick up the edge of eyes...

One of the difficult problems recognized in image processing and pattern analysis, in particular in medical imaging applications is boundary detection. The detection of skin lesion boundaries accurately allows, skin cancer detection .There is no unified approach to this problem, which has been found to be application dependent. Early diagnosis of melanoma is a challenge, especially for general ...

Edges represent significant boundary information between objects or classes. Various methods, which are based on differential operation, such as Sobel, Prewitt, Roberts, Canny, and etc. have been proposed and widely used. The methods are based on a linear convolution of mask with pre-assigned coefficients. In this paper, we propose an edge detection method based on Dempster-Shafer's evidence th...