This paper presents a comprehensive study on different techniques and approaches implemented in the research area for image retrieval and especially in the field of content based image retrieval. Image retrieval has been an active area among researchers from past few years. Different techniques and approaches have been implemented in the image retrieval system so as to achieve higher efficiency and accuracy. The major concern of an image retrieval system is to retrieve a desired image as per the user query. The overall system performance is based on the accuracy and efficiency. In this paper a survey on different techniques and approaches implemented in the Content Based Image Retrieval System is proposed. Various Techniques like Color Coherence Vector (CCV), Extended Local Tetra Pattern, Color Histogram Processing, Wavelet Based Color Histogram, DCT & DCT wavelets, Gabor filtering and Haar Wavelet Transform and K-means Clustering algorithms have been implemented in the Image Retrieval system to achieve higher accuracy and efficiency of the system & its performance