Content Based Image Retrieval using Machine Learning

Date : Apr 2016 - Jun 2017

------------------- Techniques for Implementing CBIR ----------------------- 1- Color Histogram 2- Color coherence vector 3 - Bag of visual words(Color Features) At the end of this Project, we will be able to : 1- To search a specific image from a large database… 2- To extract the specific features from the image or images. 3- To classify the images and calculate the distances between them on the basis of feature extraction. 4- To retrieve images, which is simply a result of the combination of feature extraction and distance calculation. ------------------ Applications of CBIR ------------------------- 1- Crime prevention: Automatic face recognition systems, used by police forces. 2- Security Check: Finger print or retina scanning for access privileges. 3- Medical Diagnosis: Using CBIR in a medical database of medical images to aid diagnosis by identifying similar past cases. 4- Intellectual Property: Trademark image registration, where a new candidate mark is compared with existing marks to ensure no risk of confusing property ownership.