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Research on Curvelet Transform and Its Application on Medical Image Enhancement

Author: YangZhenYa
Tutor: ChenYuQuan
School: Zhejiang University
Course: Biomedical Engineering
Keywords: Curvelet transform Multiscale Geometric Analysis Image Enhancement Medical image
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 173
Quote: 0
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Abstract


Discontinuous along the edge of the search for the two-dimensional characteristics for optimal sparse expression , Curvelet transform is a research method . The main features of the two-dimensional image is characterized by an edge , then, wavelet transform is not the optimal or most of the function of the \having geometric characterized . In order to effectively detect and deal with these characteristics , Curvelet transform as the representative of a class of multi-scale geometric analysis methods have been proposed . Image do Curvelet exploded , Curvelet coefficient different scales can be obtained in different directions , and these coefficients represent all of the characteristics of the image information , they are expressed and processed , can be used for image denoising, integration and enhancement . Imaging , because of the various organs of the human tissue , tissue contrast is very low , medical imaging equipment imaging often poor visual effects , needs to be enhanced . In order to enhance the contrast of poor medical imaging , x-ray image , for example , based on a rigorous mathematical definition of multi-scale geometric analysis method Curvelet transform gives a flexible non-linear enhancement function , enhanced part of the coefficient . First, it is estimated that the image noise to be reinforced , and then the x-ray image Curvelet exploded Curvelet coefficient maps to the enhancement function performed in the finer scales , large coefficient remain unchanged , the medium and small coefficients being amplified , according to the need for small the coefficient of attenuation in order to suppress noise, the final reconstructed image based on the corrected Curvelet coefficient . Introduction of Canny edge detection operator, the result of enhanced image edge detection , as the objective evaluation tools for image enhancement . Compare contrast limited adaptive histogram equalization (CLAHE), wavelet transform enhancement method , experiments show that the proposed enhancement function , Curvelet transform can effectively enhance the edge of the x-ray image contrast , clear detail , low noise , and traditional method having better intuitive visual effect and an edge detection result .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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