Open AccessSEGMENTATION OF VESSELS IMAGES ON ANGIOGRAMS IN SPACE OF TRANSFORMATION COEFFICIENTS WITH COMMON WAVELET FUNCTIONS
Author(s) -
M. V. Polyakova
Publication year - 2011
Publication title -
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.