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The Research Of Feature Extraction Methods Of Iris Plaque

Posted on:2015-02-07Degree:MasterType:Thesis
Country:ChinaCandidate:C C WangFull Text:PDF
GTID:2268330431454284Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
Iridology is the science to reflect the various organs of the body active bychanging the distribution and iris of the eye iris. By Iris density, structure,distribution, color and so on, for the corresponding changes in the area to determinethe extent of system functions and debilitating damage to organs and tissues.Iridology is not a cure, it is the result of people telling the body to change, but alsoprompt people to change their correctness and treatment methods. Plaque on the irisof the iris region may be distributed in any unequal size appearance, black or darkbrown sheet, corresponding to the position described plaques appear chronic organtoxins deposited state. Therefore, the accuracy of the positioning of the iris plaque,the final diagnosis and treatment play a crucial role.The current analysis, we found that the study of the iris plaque still in its infancystage, yet comprehensive set of systems theory. This paper presents a method toextract patches, use a low gray value of plaque characteristics, proposed an efficientautomatic recognition algorithm.Firstly, the color image gray, the separated independent pupil area Thresholdsegmentation method. Secondly, the correspondence between polar and Cartesiancoordinates of the annular iris normalized expanded into a rectangle. Area plaquesfound through a window. The mean plaque area in the center of the pixel gray valueis less than the minimum edge pixel gray value, using the level set method to obtainthe edge information of these alternative regions. If so, the edge of the plaque wasidentified. Finally, find the location of the plaque contour corresponds to restore the original image to complete the test.In this paper, the algorithm using MATLAB experiments and compiled fortypical iris detection of plaque has a good effect, by gallery experiment, the correctrate of86.7%. This algorithm is small, fast, easy packaging. By studying this topicfor future computer automatically iris feature extraction and recognition provides afeasible approach.
Keywords/Search Tags:automatic recognition, iris plaques, the level set
PDF Full Text Request
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