SEGMENTATION OF VESSELS IMAGES ON ANGIOGRAMS IN SPACE OF TRANSFORMATION COEFFICIENTS WITH COMMON WAVELET FUNCTIONS | Zendy

Marina Polyakova | Zendy

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SEGMENTATION OF VESSELS IMAGES ON ANGIOGRAMS IN SPACE OF TRANSFORMATION COEFFICIENTS WITH COMMON WAVELET FUNCTIONS

Author(s) -

Marina Polyakova

Publication year - 2011

Publication title -

international journal of computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.184

H-Index - 11

eISSN - 2312-5381

pISSN - 1727-6209

DOI - 10.47839/ijc.10.2.744

Subject(s) - hessian matrix , wavelet , artificial intelligence , transformation (genetics) , convolution (computer science) , segmentation , computer vision , pattern recognition (psychology) , mathematics , pixel , wavelet transform , computer science , image (mathematics) , biochemistry , chemistry , artificial neural network , gene

The method of vessel segmentation on angiogram is elaborated. It includes the analysis of own values of Hessian for every pixel of image. The elements of Hessian calculated from the image convolution by the common wavelet functions with a compact support. This decreases the conputational complexity of method of segmentation of angiograms due to replacement of a few levels of data processing by one.

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