Morphological Classification of Binary Image's Pixels

• Autorzy: Iwanowski M.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a novel approach to the classification of binary image pixels based on mathematical morphology. The proposed method makes use of new class extractor operators to extract pixels belonging to pre-defined classes from the original image. The classes consist of pixels characterized by particular morphological properties. In the paper, a general scheme of a morphological classifier is introduced. Depending on the class to be detected, various extractors can be denned based on the mathematical morphology. The extracted classes can be organized in a class hierarchy tree structure. Apart from the general framework of a morphological classifier, various class extractors are described as well. Another notion introduced in the paper are class distribution functions, which can be used as shape descriptors for pattern recognition. Finally, two practical examples of classification of binary image pixels are presented, representing an application to shape description and to analysis of the shape of water bodies.

Słowa kluczowe

EN

mathematical morphology; image classification; binary images

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2009
• Tom: Vol. 18, No. 2
• Strony: 155--173
• Opis fizyczny: Bibliogr. 11 poz., il., wykr.

Twórcy

autor

Iwanowski M.

• Institute of Control and Industrial Electronics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, POLAND,

Bibliografia

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