A Study of Water Reflection Element in Content Based Image Retrieval Using Phase Congruency Edge Detection
نویسندگان
چکیده
With advances technologies of Internet and new digital image, the volume of digital images produced by scientific, educational, medical, industrial, and other applications has increased dramatically. The paper was inspired by symmetrical study about an image and also we tried to apply edge detection using Phase Congruency method that proposed by Kovesi. We tried making comparative study on edge detection to extract edge information from the single images in database. Secondly, were applied this edge element of symmetry studies about water reflection into Content Based Image Retrieval (CBIR) using geometrical moment and symmetry measures. Then the results from image segmentation are further grouped into regions representing by water reflection and all moment value were clustering using Gustafson Kessel Algorithm and Relevance Feedback as intelligence part of our system learning method.
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تاریخ انتشار 2007