Use of Machine Learning in the Area of Image Analysis and Processing

This report tries to investigate the effective use of the machine learning in the area of image analysis and processing. The field of healthcare taking a large datasets of image like X-ray, Ultrasound, MRI, CT scan, Echo-cardiograpgy with the known classification, Take images as input and then process the images, in case of process the images following steps are involved formatting of images if not suitable as per the required format and then Segmentation, Feature extraction and Classification and then train the model with given data of images with known classification (that is called data sets) after that model can predict the classification of the given new images that is called test data. And then compare the result with the already given model result with different-different machine learning algorithm. And try to improve the result with existing result and target is to achieve 100 % accuracy. To improve the result is depend on many things like in image processing it depend on how well had done segmentation and then feature extraction is again main factor to improve the result, how many feature taken during developing model and then classification, it also depend on machine learning algorithm used as per the given data sets.