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Identification Research Of Cattle By Computer Vision And Information Management System Based On Web

Posted on:2004-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:H L ZhangFull Text:PDF
GTID:2168360095950655Subject:Mechanical design and theory
Abstract/Summary:PDF Full Text Request
The appearance of cattle-raising industry in china is the symbol of the success of revolution and opening. With the improvement of people's living situation, the status of cattle-raising industry is becoming more and more important hi agricultural manufacture and national economy. Industrialization and automation are the inevitable trend. Aim at the problems of manual measuring of cattle's shape parameters: low efficiency, low precision, the results easily effected by the technique level and fatigue level of worker, and the precision of measure tools, the research used computer vision technology to measure the main shape parameters of cattle. And the research setup a information management system to manage image information. The main contents and results of the dissertation as follows:(1) According to the property and demand of the study, the factors affecting system performance were analyzed. On the basis of considering the ratio of performance and price, hardwares were chosen to setup the computer vision system. Under the natural environment, cattle images were acquired.(2) Using reference object demarcation method to measure the shape parameters, this made the process of image acquiring avoid the effection of camera's focus. And it can eveluate the image's size and definition, at the same time it mad the measurment easy.(3) Hue can identify cattle from backgroud through Ostu's thresholding, the correctness is over 98%. And it's insensitive to earth, the illumiation intensity and shadow.(4) Basing of the area, can delete the area which is useless to measurment and noise. After binary based on hue, just use this method can delete useless information, then improved the efficiency of identifying.(5) Aimed at some parameters cann't measure directly from the 2-dimension image, the paper indicate that can through near-ellipse calculation and using BP neural network to calculation the chest circumference of cattle.(6) In the process of measurment, when measure the shape parameter, can calculate the max local-curvature, and analysis the angle from the edge-point to coordinate system to find the beginning point and stopping point of measure.(7) Software system for cattle's shape parameter measurment by computer vision were developed by using VC++6.0. It can measure the main shape parameters and main index from cattle image. The function of basic image processing can used in otherobjects and fields.(8) Designed and developed the information management system for cattle's image based on the B/S modle. It can complete the basic function of information management(insert image information, delete image information, update and query image information). The system is running on local intranet to test it's performance, and it works well.
Keywords/Search Tags:Cattle, Shape parameter, Computer vision, Image Processing, Web
PDF Full Text Request
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