Analysis of different modified top-hat transformations based on structuring element construction

• Published in: Signal processing Vol. 90; no. 11; pp. 2999 - 3003
• Main Authors: Bai, Xiangzhi, Zhou, Fugen
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.11.2010; Elsevier
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Construction; Exact sciences and technology; Image processing; Information, signal and communications theory; Modified top-hat transformation; Pattern recognition; Pattern recognition. Digital image processing. Computational geometry; Performance enhancement; Retarding; Signal processing; Structuring element; Telecommunications and information theory; Top-hat transformation; Transformations; Modified top-hat transformation; Top-hat transformation; Structuring element; Performance evaluation; Image processing; Edge detection
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2010.04.021

Different modified top-hat transformations through structuring element construction have been proposed to improve the performance of classical top-hat transformation. Firstly, this paper reviews different modified top-hat transformations. Then, the relationships of different modified top-hat transformations are analyzed. Moreover, generating the improved forms of different modified top-hat transformations through suppressing the negative values is also discussed. This paper indicates that some different modified top-hat transformations based on structuring element construction could be derived from new top-hat transformation, and the improved forms of top-hat transformations are more useful for different applications.