iosr-JECE   Volume-10 ~ Issue-1 ~ Jan-Feb 2015

Abstract: We propose a algorithm for rigorously comparing the different types of edge detection techniques. The computed results and detailed comparison is analytically calculated. The results are verified by simulation. The algorithm is used to evaluate four edge detection techniques. Simulated results of two-dimensional image give the idea about perfect edge technique for reorganization of noisy image. The experiment with several methods shows the ability to detect weak edges.

Keywords: Canny, Sobel, Roberts, Prewitt etc.

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Abstract: Inside a network environment, packets is the most important in carrying data to perform communication. Such a circumstance is easy to be attacked by an intruder and perform eavesdropping which leads to data loss/duplication/redundancy. Comprehend speaking, packet dropping and modification are the two common attacks that can be easily launched by an adversary to disrupt communication in multi hop networks, specifically mobile ad hoc networks. Hence a remedial approach is proposed to compensate such attacks. A tree based approach is designed to designate the attack in order to identify packet droppers and modifiers. In this direction, it has been assumed that the mobile nodes continuously monitor the behaviors of the forwarding mobile nodes which may be neighbors to determine if their neighbors are misbehaving. To address this problem, a hierarchical method is proposed and detects malicious mobile nodes that drop or modify packets. Extensive analysis and simulations have been conducted to study the performance of attacks with respect to efficiency of the scheme.

Keywords: attack, intruder, behavior, packet dropping, modification

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Abstract: Edge detection is one of the most commonly used operations in image analysis particularly in the areas of feature extraction. Edge indicates the boundary between overlapping objects. An edge is the boundary between an object and the background, hence if the edges are identified accurately in an image all its objects can be located and basic properties such as area, perimeter and shape of an image can be measured. An edge can be defined as a set of connected pixels that forms a boundary between two disjoints regions. Edge detection is basically, a method of segmenting an image into regions of discontinuity. The data of edge detection is very large, so the achievement of high speed of image processing is a difficult task. Field Programmable Gate Array (FPGA) can overcome this difficult task and it is an effective device to realize real-time parallel processing for vast amounts of image and video data. The proposed work shows the implementation of Canny Edge detection algorithm on FPGA.

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