Automatic Redeye Correction in Digital Photos

Abstract

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.

A robust method for skin cancer diagnosis based on interval analysis

“…Various uses of image processing in various fields of technology, industry, urban, medicine, and science have made it a very active topic among research fields [7][8][9].…”