An Implementation of Feature Extraction over Medical Images on Open Cv Environment

Feature extraction is a process of detecting and extracting features out of images and storing it in feature vectors. It is an important phase of content based image retrieval. Extracted features are equally significant in terms of their usage since they can be further taken as inputs to next phases of CBIR. There are several techniques used for extracting features out of an image. In this paper we show feature extraction working on medical images using a SURF technique under the OPEN CV platform. We have used the OPEN CV platform since it provides a C interface to implement various image processing algorithms. The work merges the feature extraction technique with this most suitable platform available for image algorithms. We have also computed the performance of the technique used in terms of various parameters like execution time, rotation, detect ability, accuracy, etc. Our technique works well in terms of its performance as shown in our results and so it can be one of the appropriate techniques to be chosen for medical images being the complex images.