Automated boundary extraction by gradient fuzzy Gray-Scale Hit-or-Miss transformation

Author

Intajag, Sathit ; Paithoonwatanakij, Kitti

Author_Institution

Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

fYear

2000

fDate

2000

Firstpage

465

Lastpage

468

Abstract

The fuzzy Gray-Scale Hit-or-Miss Transformation (GHMT) is a fuzzy morphology operator, which is a key for the feature extraction in the ambiguous information. In this paper, we propose a novel concept of gradient fuzzy GHMT that is employed for automatically extracting a boundary of the multi-scale pictures. The edge enhancement with a morphological anisotropic diffusion coefficient capability can smooth the noisy region while preserving the edge location. The gradient of the fuzzy GHMT utilizes a set of the structuring elements to detect the edge strength with a view to decrease the spurious edge and to suppres the noise. Results are presented both for the synthetic and the natural images in comparison with the others morphological edging detector

Keywords

edge detection; feature extraction; fuzzy systems; mathematical morphology; transforms; automated boundary extraction; edge enhancement; edge location; edge strength; feature extraction; fuzzy morphology operator; gradient fuzzy gray-scale transformation; hit-or-miss transformation; morphological anisotropic diffusion coefficient; morphological edging detector; multi-scale pictures; natural images; noisy region; spurious edge; synthetic images; Anisotropic magnetoresistance; Data mining; Electronics industry; Filters; Fuzzy sets; Gray-scale; Image edge detection; Kernel; Morphology; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on

Conference_Location

Tianjin

Print_ISBN

0-7803-6253-5

Type

conf

DOI

10.1109/APCCAS.2000.913537

Filename

913537