A methods to correct the artifact known as “red eye” is proposed by means of digital color image processing and classification procedure. First, skin like regions is detected with a pixel-based support vector machine processing; morphological operations are then used to eliminate the extra areas. In the second step 6 new features include geometric and color metrics are proposed to better classification of artifacts. Finally a support vector machine is used to classify the output of skin detected images by the use of presented features. 30 custom images are used to accuracy evaluation and results show the high performance of the proposed method toward some other methods.
کلید واژگان :Redeye correction, HSI color space, Skin detection, Classification, Support Vector Machines, Morphological operations, Color and Geometry features
ارزش ریالی : 600000 ریال
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