Contour detect in the medical image by shearlet transform

Luis Cadena; Nikolai Espinosa; Franklin Cadena; Ramiro Rios; Konstantin Simonov; Alexey Romanenko

doi:10.1117/12.2189725

17 July 2015 Contour detect in the medical image by shearlet transform

Luis Cadena, Nikolai Espinosa, Franklin Cadena, Ramiro Rios, Konstantin Simonov, Alexey Romanenko

Proceedings Volume 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015); 95242W (2015) https://doi.org/10.1117/12.2189725
Event: International Conference on Optical and Photonic Engineering (icOPEN2015), 2015, Singapore, Singapore

Abstract

Contour detect in the urology medical image. The investigation algorithm FFST revealed that the contours of objects can be obtained as the sum of the coefficients shearlet transform a fixed value for the last scale and the of all possible values of the shift parameter.

The results of this task using a modified algorithm FFST for data processing urology image is show. In the results of the corresponding calculations for some images and a comparison with filters Sobel and Prewitt.

Shows the relevant calculations for some images and a comparison with Sobel and Prewitt filters respectively.

Citation Download Citation

Luis Cadena, Nikolai Espinosa, Franklin Cadena, Ramiro Rios, Konstantin Simonov, and Alexey Romanenko "Contour detect in the medical image by shearlet transform", Proc. SPIE 9524, International Conference on Optical and Photonic Engineering (icOPEN 2015), 95242W (17 July 2015); https://doi.org/10.1117/12.2189725

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KEYWORDS

Image filtering

Medical imaging

Wavelets

Data processing

Image processing

Analytical research

Continuous wavelet transforms

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