mammography using matlab
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Member • Sep 14, 2011
you can find the segmentation code in following addressRupam Das1. Database: For mammogram, you need a database of atleast 50 images each of Normal and abnormal. if possible, go for three class, malignant, normal and Benign. You can find these .pgm files in MIS database. 20 is just very low number for Image Processing.
2. Manual cropping is just not correct, with mamography point of view. Most suitable will be segmentation using K-means clustering. That will remove the extra part like "white written texts" from the image. No morphology processes binary images. You need the segmentation at the gray scale level.
3. STFT( short term fourier transform) is theoretically best suited for non stationary signals like ECG. any tumor is best represented by change in texture. So you will be better off using either Wavelet, GLCM or even Fourier transform. Though for a change STFT can be tried out.
Member • Aug 23, 2015