Authentication is required when there is a need to know about a person who they claim to be. It is a procedure which involves a person making a claim about their identity and then providing evidence to prove it. In this paper, iris biometric identification system has been presented that uses modified Canny Edge Detection algorithm for segmentation, binarization and cropping. Feature extraction ...

A method for identifying door features in images was implemented in MATLAB to extract door locations from a set of random still images. The method is based on Canny edge detection algorithm and the Hough transform, and uses fuzzy logic to determine the probability of existence of doors which fit a set of predefined rules. The algorithm has an 80% rate of detection for an input set of 196 images...

Image segmentation is a key topic of research from many years. Image segmentation plays a very important role in computer vision .The purpose of image segmentation is to partition the image into an set of disjoint regions with the homogeneous and uniform attributes like intensity, tone, color and texture. Edge detection in images considerably reduces the amount of data and filters useless infor...

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 ...

This paper presents a novel direction based edge detector which not only can detect the whole edges in an image like other edge detectors, but also more effectively detect edges in any directions that are pre-selected by users. It provides users with an additional function to extract pieces of edges of the directions of particular interest. The algorithm is described in details. Effectiveness o...

In this paper location M estimator is used to inspect the over and under fill liquid level of bottle in machine vision system. Different optimal edge detection algorithms such as MarrHilderth algorithm LoG, Canny algorithm and Shen Castan algorithm are used for liquid level inspection in industry until now. The filling level in a bottle is computed as an average distance from a specific referen...

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 ...

Cellular Automata can be successfully applied in image processing. In this paper, we propose a new edge detection algorithm, based on cellular automata to extract edges of different types of images, using a totalistic transition rule. The metaheuristic PSO is used to find out the optimal and appropriate transition rules set of cellular automata for edge detection task. This combination increase...

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...

In this paper fuzzy based canny edge detection is explained. Global contrast intensification and local fuzzy edge detection are the two phases explained and is then merged with Canny operator for better results specially for noisy images and low contrast images. The resultant images are obtained using MATLAB which is the most convenient software and is efficient in terms of Image Processing as ...