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A two-dimensional vision system usin...

Chen, Yong.

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A two-dimensional vision system using artificial neural networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A two-dimensional vision system using artificial neural networks./
作者:	Chen, Yong.
面頁冊數:	114 p.
附註:	Source: Masters Abstracts International, Volume: 37-06, page: 1920.
Contained By:	Masters Abstracts International37-06.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1395274
ISBN:	059935755X

A two-dimensional vision system using artificial neural networks.
Chen, Yong.

A two-dimensional vision system using artificial neural networks. - 114 p.

Source: Masters Abstracts International, Volume: 37-06, page: 1920.

Thesis (M.E.S.)--Lamar University - Beaumont, 1999.

This thesis presents a two-dimensional image recognition system that is invariant to geometrical transformations. Traditional image recognition systems are slow in image processing even with the fastest computer because of their sequential execution. Furthermore, these systems are limited by their low tolerance for distortions and absence of tolerance for scaling and rotation. However, the recent advances in neural modeling have enabled us to overcome these limitations. This thesis presents a two-dimensional vision system using Artificial Neural Networks, which is based on the back propagation training algorithm. It involves image preprocessing, networks training, and image recalling. This system provides invariance for translation, rotation, and scaling. The designed system demonstrated better tolerance for image distortion and faster speed in detection than the conventional systems. This system has been implemented with Microsoft Visual C++ 5.0 to run under Windows environment. The Windows application makes it possible to interface to the real-time and real-world images through devices such as frame grabbers and scanners.

ISBN: 059935755XSubjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

A two-dimensional vision system using artificial neural networks.
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