The Sub-pixel Edge Detection Based on Improved Zernike Moment for Brain CT Image
نویسندگان
چکیده
منابع مشابه
The Sub-pixel Edge Detection Based on Improved Zernike Moment for Brain CT Image
The medical imaging is the fastest growing subject in the field of clinical medicine. It runs through the whole process of clinical medicine. This paper chooses the edge feature of brain CT image. The classical operator of pixel level edge feature extractions were compared with the Zernike moments sub-pixel level edge feature extraction. And then the edge detection of improved Zernike moments f...
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Most of the sub-pixel edge detection methods proposed in literature are based on Ghosal and Mehrotra’s method which uses Zernike moments. Some research has been reported using Fourier-Mellin moments for sub-pixel edge detection. Pseudo Zernike moments have been proved to be superior to Zernike moments in terms of their feature representation capabilities and sensitivity to image noise. This pap...
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This paper is based on the development of fuzzy Logic based edge detection techniques in digital images. The proposed technique used Sobel operator, Zernike moment operator, and Fuzzy inference system in combination for edge detection purpose. Edge is a boundary between two homogeneous regions. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. I...
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In order to overcome the disadvantages of time consuming and high computational cost in spatial moment, an improved sub-pixel edge detection algorithm based on spatial moment is proposed. Firstly, region of interest and Canny operator is used to reduce the number of edge points in the moment template operation. Then a constraint is set up by using the space moment characteristic of the edge to ...
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ژورنال
عنوان ژورنال: DEStech Transactions on Computer Science and Engineering
سال: 2017
ISSN: 2475-8841
DOI: 10.12783/dtcse/iceiti2016/6124