Morphological feature extraction for detail maintained image enhancement by using two types of alternating filters and threshold constrained strategy

Image details provide important image information for image analysis. So, it would be very useful to well enhance image while effectively maintaining image details. To achieve this purpose, a detail maintained image enhancement algorithm based on the extracted image features by using morphological alternating filters is proposed in this paper. First, feature extraction based on two types of alternating filters and the threshold constrained strategy is given and discussed. The extracted image features contain the useful image details, which is very useful for the detail maintained image enhancement. Second, the multi-scale extension of the procedure of feature extraction is proposed to extract the multi-scale image features. Third, the final extracted bright and dark image features are calculated based on the extracted multi-scale features. Finally, the final extracted bright and dark image features are imported into the original images through contrast adjustment, which achieves the detail maintained image enhancement. Experimental results on different types of images verified the effective performance of the proposed algorithm for image enhancement.