Image retrieval is gaining significant attention in areas such as surveillance, access control, etc. The content-based feature extraction plays a very crucial role in image retrieval. For the characterization of a specific image, mainly three features (i.e., color, texture, and shape) are used. Multimedia can store text, image, audio, and video which can be processed and retrieved. The various techniques are used for image retrieval such as textual annotations, content-based image retrieval in many application areas like medical imaging, satellite imaging, etc. However, most of these techniques were designed for specific domains and universally accepted method is yet to be designed; hence, CBIR is a field of active research. Similar output images indicate efficiency of search and retrieval process. In this chapter, the authors have discussed various image feature extraction techniques and clustering approaches for content-based feature extraction from image and specifically focused on color based CBIR techniques.