Digital Image Processing In The Computer Process

1. INTRODUCTION

1.1 OVERVIEW

Image processing is any form of signal processing for which the input is an image, such as photographs or frames of video, the output of image processing can be either an image or a set of characteristics or parameters related to the image. Image processing usually refers to digital image processing, but optical and analog image processing are also possible. Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subfield of digital signal processing, digital image processing has many advantages over analog image processing; it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing. An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images hence retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive, to address this, there has been a large amount of research done on automatic image annotation. Additionally, the

Some previous work keeps an eye on investigating what visual features are measured to be more important for those images to be considered as positive samples and to be ranked nearby. To improve the retrieval performance and to scale up to a large number of concepts that are required to cover a realistic query space, human intervention is mandatorily needed. This method is called Supervised Ranking method, where user should be allowed to interact with the system to refine the results of a query until he/she is