Title :
Comparison of texture based algorithms for the detection of masses in digitised mammograms
Author :
Pfisterer, Richard ; Aghdasi, Farzin
Author_Institution :
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
Abstract :
A comparison of methods to detect masses in digitised mammograms based on textural information is investigated. Masses in mammograms are usually “smoother” with lower textural content than the surrounding tissue. Our algorithms enhance and segment the image based on texture. We implemented four algorithms: 1) hexagonal wavelets, 2) Laws texture energy masks 3) wavelet enhanced Laws, and 4) steerable Alters enhanced Laws. We tested each of these algorithms on a standard database, and varied parameters showing interesting properties in each one
Keywords :
biological tissues; image enhancement; image segmentation; image texture; mammography; medical image processing; wavelet transforms; Laws texture energy masks; digitised mammograms; hexagonal wavelets; lower textural content; mass detection; standard database; steerable Alters enhanced Laws; surrounding tissue; textural information; texture based algorithms; wavelet enhanced Laws; Breast cancer; Cancer detection; Filters; Image databases; Image edge detection; Image segmentation; Lesions; Testing; X-ray detection; X-ray detectors;
Conference_Titel :
Africon, 1999 IEEE
Conference_Location :
Cape Town
Print_ISBN :
0-7803-5546-6
DOI :
10.1109/AFRCON.1999.820871
