NDLI: Characteristic extraction from an ambiguous image using fuzzy mathematical morphology with adaptive structuring elements

Content Provider	IEEE Xplore Digital Library
Author	Kikuchi, T.
Copyright Year	2001
Description	Author affiliation: Dept. of Electron. Technol., Polytech. Univ., Tokyo, Japan (Kikuchi, T.)
Abstract	Fuzzy mathematical morphology (FMM) is proposed as a new method of the image processing, especially the analysis of image characteristics. FMM works with two images: the original image to be processed and a structuring element. However, the shape and value of structuring element must decide before image processing. Also, there is the problem that the image changes largely by the selection of the structuring element. In this paper, we propose a new filter to extract characteristics in an ambiguous image. First, the adaptive structuring elements (ASE) are defined. The ASE can be determined directly from the input image without any arbitrary choice, which is sensitive to ambiguous images. Next, we propose the dynamic fuzzy morphological filter (DFMF) with ASE. This method is useful for automatic inspection systems using image processing and effective to characteristics extraction. Performance evaluation via simulations shows that the DFMF efficiently extracts characteristics. Furthermore, the DFMF shows a good performance compared with the other filters.
Starting Page	228
Ending Page	231
File Size	256917
Page Count	4
File Format	PDF
ISBN	078037293X
DOI	10.1109/FUZZ.2001.1007290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-02
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Morphology Filters Image processing Shape Fuzzy systems Inspection Image edge detection Noise shaping Automation Packaging
Content Type	Text
Resource Type	Article

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