A Novel Subpixel Edge Detection Based on the Zernike Moment
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...
متن کاملA Novel Hybrid Technique for Sub-pixel Edge Detection using Fuzzy Logic and Zernike Moment
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...
متن کاملSub-Pixel Edge Detection Using Pseudo Zernike Moment
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...
متن کاملA fast subpixel edge detection method using Sobel-Zernike moments operator
In this paper, a new edge detection approach combining Zernike moments operator with Sobel operator is proposed. This detection consists of two steps: Firstly, all probable edge points are detected using Sobel operator; Secondly, Zernike moments operator is used to relocate the edge precisely from the points detected by Sobel operator. In the second step, two masks (one real and one complex) ar...
متن کاملContours Extraction Using Line Detection and Zernike Moment
Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information Technology Journal
سال: 2009
ISSN: 1812-5638
DOI: 10.3923/itj.2010.41.47