Decomposition of Arbitrarily Shaped Morphological Structuring Elements
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast computation of morphological operations with arbitrary structuring elements
Pattern Recognition Letters
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Remote sensing image fusion using the curvelet transform
Information Fusion
White blood cell segmentation using morphological operators and scale-space analysis
SIBGRAPI '07 Proceedings of the XX Brazilian Symposium on Computer Graphics and Image Processing
Multifocus image fusion using region segmentation and spatial frequency
Image and Vision Computing
Efficient fusion scheme for multi-focus images by using blurring measure
Digital Signal Processing
Towards cognitive image fusion
Information Fusion
Multi-focus image fusion using PCNN
Pattern Recognition
Edge preserved image fusion based on multiscale toggle contrast operator
Image and Vision Computing
Computers and Electrical Engineering
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Remaining useful information of the original images in the fusion image is very important in image fusion. To be effective for image fusion, a multi-scale top-hat transform and toggle contrast operator based algorithm using the extracted image regions and details is proposed in this paper. Top-hat transform could extract image regions, and operations constructed from toggle contrast operator could extract image details. Moreover, multi-scale top-hat transform and toggle contrast operator could be used to extract the effective image regions and details at multi-scales of the original images. Then, the extracted image regions and details are imported into the final fusion image to form the effective fusion result. Thus, the proposed multi-scale top-hat transform and toggle contrast operator based algorithm is an effective image fusion algorithm to keep more useful image information. The combination of the top-hat transform and toggle contrast operator for effective image fusion is the main contribution of this paper, which is the extension of the previous work using only the toggle contrast operator for edge preserved image fusion. Experimental results on multi-modal and multi-focus images show that the proposed algorithm performs very well for image fusion.