Detection of Colon Cancer Using Image Processing

Image processing is one of the most widely used techniques in the medical field for the early diagnosis of diseases. The most common application of image processing in medicine is the detection of cancer. Colon cancer is one of the most typical cancers worldwide. Early disease detection using image processing, which is more accurate. Early cancer detection can save lives because it enables more efficient medical care for those who are affected. The suggested approach involves gathering a set of histopathological images of the colon and using extraction, filtering, and classification to distinguish between normal and abnormal images. A grayscale version of the photo is created. Filters are used to reduce image noise. Procedure for feature extraction Using K-Mean, FCM, and FFT, the values are recorded. For storage of values, it is normalized. For each calculation, the mean, variance, standard deviation, kurtosis, and deviation are determined. Through the use of a classifier, nonlinear data is transformed into linear data.