Content Based Image Retrieval Using Image Preprocessing Techniques

Image retrieval is very fatten epidemic on daily basis growing area of the computer vision applications. The digital images are constitute, the major role in retrieval of the image and multimedia dataset. The content based image retrieval (CBIR) is the one technique of image retrieval which used for feature like the color, shape and texture in order to search the image from the huge amount of the digital image processing dataset. The CBIR is rest on the features of images which are pictorial features are learn by the deep learning automatically. The research shows that there the image preprocessing representation by human understanding the visually of images. Image preprocessing is used to improve the quality of the image and remove the unsolicited distortions from the image or enhanced the significant feature in image. The paper is focused on performance of three preprocessing methods are compared namely Contrast adjustment, Intensity adjustment and Histogram equalization.