数字图像大作业英文教学课件.pptVIP

Study of CBIR Methods for Retrieval of Digital Images based on Colour and Texture Extraction PPT by : GuLei from IOT COMPUTER SCIENCE TECHNOLOGY 1505 Authors：Chaitanya Vijaykumar Mahamuni Neha Balasaheb Wagh (ICCCI -2017) Study of CBIR Methods for Retrieval of Digital Images based on Colour and Texture Extraction An image retrieval system is a software system which is used to browse, search and retrieve images from a large database of digital images. It is a specialized search to find digital images. In most applications of image processing, it becomes necessary to find images by using text, keywords or by using any other features of an image. The conventional or traditional methods of image retrieval includes addition of metadata like captions, important keywords to describe image etc by using which retrieval of images takes place. The manual annotation of images is highly time-consuming, laborious and costly in terms of investment of money. Therefore, Content-based Image Retrieval (CBIR) i.e. Query by Image Content (QIC) or Content-based Visual Information Retrieval (CBVIR) is used. It is a computer vision based approach to address the image retrieval problem. The content of an image (colour, text, shape or any other information etc) is used to retrieve any information in the visual form. 1 of 20 INTRODUCTION Study of CBIR Methods for Retrieval of Digital Images based on Colour and Texture Extraction 2 of 20 INPUT DATABASE RETRIEVAL SYSTEM OUTPUT (IMAGES) GENERALIZED BLOCK DIAGRAM OF IMAGE RETRIEVAL SYSTEM As it is seen in diagram, the input provided to a retrieval system can be anything related to the search that has to be performed (keywords, index terms or any feature of image). The output images will be obtained by scanning the database based on the given input. The various search methods are: image meta search, CBIR and image collection exploration. The various factors incorporated in the design of the system are the nature of image