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FPGA Implementation Of Image Edge Detection Algorithm - Poonam Pawar

englanti
2016-09-07
53,86 € 71,81 €

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Toimitus 15-21 arkipäivässä

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Edge is a basic feature of an image. Edges define the boundaries between regions in an image by locating sharp discontinuities in pixel values, which helps with segmentation and object recognition. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of ima ... Täydellinen kuvaus

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Edge is a basic feature of an image. Edges define the boundaries between regions in an image by locating sharp discontinuities in pixel values, which helps with segmentation and object recognition. Image Edge detection significantly reduces the amount of data and filters out useless information, while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection. This project describes Canny Edge Detection algorithm and Beamlet Transform Edge Detection algorithm. The Canny edge detector is an effective edge detector with single-pixel response; Canny operator has been widely used in accurately abstracting the edge information in image processing. By adopting the improved median filter, the performance and reliability of the system is improved when dealing with image contaminated by noise. A Multiscale Beamlet Transform employed for edge detection. Beamlet Transform is used to extract edges, ridges and curvilinear objects in digital images. Beamlet transforms are much insensitive to noise, computationally efficient, and able to detect features with high accuracy.

Lisätietoja

Kirjoittaja Poonam Pawar
Julkaisija LAP LAMBERT Academic Publishing
Julkaisuvuosi 2016
Kannen tyyppi Pehmeäkantinen
EAN 9783659945434
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Arvostelet: FPGA Implementation Of Image Edge Detection Algorithm
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53,86 € 71,81 €