Human Face Recognition Utility  of sobel and canny for edge detection Introduction Biometrics_and_ human_biometrics Performance_of_ biometric_system Correlation_pattern_recognition_for_face_recognition Overview_of_correlation_filters Face_recognition_with_correlation_filters Graceful_degradation Shift_invariance Phase_only_correlation 1d_phase_only_correlation Face_recognition_methods 3_d_face_recognition Achieving_illumination_invariance Method_details Adaptive_framework Principal_component_analysis Linear_discriminant_analysis Neural_networks Feedforward_neural_networks Learning_algorithm Training_and_testing_of_neural_networks 3d_face_recognition Challenges_for_face_recognition From_2d_to_3d_face_recognition Advantages_and_disadvantages_of_3D_face_recognition 3d_face_matching Matlab_program_1_for_face_recognition Matlab_program_2_for_face_recognition Matlab_program_3_for_edge_detection Matlab_program_4_noise_insertion Fourier_transform_of_2_diff Edge_detection_cross_correlelation Utility_of_sobel_and_canny_for_edge_detection Human_face_detection_conclusion MATLAB Program 8 %utility  of sobel and canny for edge detection I = imread('eight.tif'); J = imnoise(I,'salt & pepper',0.02); imshow(I) figure, imshow(J)   BW1 = edge(I,'sobel',0.03); BW2 = edge(I,'canny'); imshow(BW1) figure, imshow(BW2)                                            Figure 1                                                                                           Figure 2(Sobeldetected)       Figure3(canny detected)                       First of all alphabet image “eight.tif”  is read twice in variables I & J then two matrices are formed BW1 & BW2 . Then edge(BW1,’canny’) function  forms the sharp edges of two alphabets noise is inserted in one of them by using imnoise() function. Three parameters are passed through this function. First one is the variable where the picture is saved in which noise is to be inserted, second one is the type of noise, third one is parameter. Sobel is used to detect blunt edges.In case of Sobel() a threshold is passed.               Want To Know more with Video ??? Watch the latest videos on YouTube.com Contact for more learning: webmaster@freehost7com                           `The contents of this webpage are copyrighted © 2005-2008 www.freehost7.com` ` All Rights Reserved.`