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images matching using canny edge detection algorithm

asked 2013-04-13 01:01:34 -0600

hussain
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I am trying to implement a project to compare the one image with the images in the database. In details a have a database of around 500 images . i have a input image and i have to compare that image with the database images to find wheater it is matches to any image or not .if matches how much percentage(%) it matches to the image i have to do it by using Canny Egde detection algorithm... i am very new to OpenCV. so i am confusion wheater it is posible to do it using canny edge detection algorithm or not?? if it is posible please tell me the algorithm or step to do it .

thanks in advance

waiting for good responce.............

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answered 2013-04-13 05:25:49 -0600

StevenPuttemans

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Image matching is done by using one of the two following approaches:

Bags of Words: http://docs.opencv.org/modules/features2d/doc/object_categorization.html?highlight=bow#
Feature point matching: http://docs.opencv.org/modules/features2d/doc/common_interfaces_of_feature_detectors.html

You can look at the tutorials on how to do feature matching with feature points:

http://docs.opencv.org/doc/tutorials/features2d/table_of_content_features2d/table_of_content_features2d.html#table-of-content-feature2d

Or there are tons of guides online for BoW matching like this one:

http://www.morethantechnical.com/2011/08/25/a-simple-object-classifier-with-bag-of-words-using-opencv-2-3-w-code/

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If you really have to do it with canny edge detection than you need to use a shape matching algorithm, e.g. w. http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html?highlight=shape%20context#matchshapes

Guanta ( 2013-04-13 06:38:21 -0600 )edit

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Asked: 2013-04-13 01:01:34 -0600

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Last updated: Apr 13 '13

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