A Survey on: Comparative study on image retrieval using CBIR

The information retrieval is one of the most frequent techniques in data search for different formats. In this presented work the image based data retrieval technique is simulated. The image retrieval techniques can be divided into a number of kinds of applications but there are two major domain of image retrieval first based on text available in image data and second the content inside the image. When the techniques utilize the image contents then such kind of techniques are known as the content based image retrieval. Content based image retrieval technique consumes image features, these features are essential image attributes that are used to identify the image. Therefore there are three key features are used namely color feature, edge feature and their texture. The challenging topic in image processing is extracting accurate images from the data base according to the user defined query and objects available in database image. Therefore in this paper we described different technique for content based image retrieval and their functioning advantages. In addition of that it includes the investigation about the different recent approaches that are developed recently. We go through many technologies and made some comparisons between them.