A unified form of multi-scale top-hat transform based algorithms for image processing

作者：Bai Xiangzhi^*; Zhou Fugen

来源：Optik, 2013, 124(13): 1614-1619.

DOI：10.1016/j.ijleo.2012.06.016

• Top-hat transform
• Multi-scale
• Unified form
• Local contrast enhancement
• Multi-modal image fusion
• Multi-focus image fusion
• Noise suppression

Top-hat transform is one important operation of mathematical morphology and widely used in different applications. However, the image processing ability of top-hat transform is not very efficient. Multi-scale operation has been one efficient way to improve the performance of top-hat transform. The key of multi-scale top-hat transform is appropriately organizing and using multi-scale top-hat transform to extract the multi-scale image features. If a unified form of multi-scale top-hat transform could be proposed, the application of multi-scale top-hat transform would be focused on the decision of some functions of the unified form. This would simplify the algorithm design. In this paper, a unified form of multi-scale top-hat transform based algorithms is given through reviewing and analyzing the existed multi-scale top-hat transform based algorithms. To verify the unified form, some applications of multi-scale top-hat transform based algorithms are integrated into the unified form by specifying the key functions of the unified form. These examples not only verify the unified form, but also provide the way of how to determine the key functions of the unified form for different applications. The given unified form is important for the further research and application of multi-scale top-hat transform.

• 出版日期2013
• 单位北京航空航天大学