Shadow Detection and its Removal from Images Using Strong Edge Detection Method
Iosr Journals, Prateek Sharma, Reecha Sharma · Figshare · 2015
Shadows cause problems in image processing. In this paper, a new methodology for shadow removal based on Strong Edge Detection (SED) method is proposed. The strong shadow edges are recognized by learning the patch based characteristics of shadow edges and then image features are analyzed to guide a Shadow Edge Classifier. Also, spatial patch smoothing is used to enforce uniformity between adjacent patches. The entropy and standard deviation results of both earlier Patch based Shadow Edge Detection Method and proposed SED method are calculated and compared with each other. The results show that the proposed SED method is better than the previous Patch Based Shadow Edge Detection method.