Segmentation with image thresholding algorithms

• Autorzy: Sikorska S.
• Języki publikacji: EN

Abstrakty

EN

The first step in image analysis and pattern recognition is image segmentation and it is one of the most difficult tasks in image processing. It determines the quality of the final result of analysis because it is very important and critical component. There are hundreds of segmentation techniques in literature. There is no single method which can be considered good for all sorts of images and conditions. In many applications of image processing, the gray levels of pixels belonging to the object are substantially different from the gray levels of the pixels belonging to the background. Thresholding then becomes a simple but effective tool to separate objects from the background. To improve the segmentation results, a strategy consists in combining algorithms in order to obtain a robust segmentation by exploiting the advantages of one method to reduce the drawbacks of the second one. This paper provides a summary of approaches to image segmentation by thresholding available at the present and describes the properties of different kinds of methods and problems encountered. There will be also presented some advanced algorithms with their practical application.

Słowa kluczowe

EN

image analysis; segmentation; thresholding algorithm

PL

analiza obrazu; segmentacja; algorytmy progowania

• Wydawca: Foundation for Young Scientists
• Czasopismo: Challenges of Modern Technology
• Rocznik: 2011
• Tom: Vol. 2, no. 2
• Strony: 19--22
• Opis fizyczny: Bibliogr. 18 poz., rys., wykr.

Twórcy

autor

Sikorska S.

• Cracow University of Technology, Institute of Applied Informatics

Bibliografia

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