Call For Paper Volume:4 Issue:10 Oct'2017 |

SKETCH BASED IMAGE RETRIEVAL

Publication Date : 10/07/2015



Author(s) :

Prof. S. B. Ambhore , Priyank Shah , Mahendra Desarda , Nawal Bedmutha.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

The content based image retrieval (CBIR) is one of the most common, increasing research areas of the digital image processing. Most of the existing image search tools, such as Google Images as well as Yahoo! Image search, are built on textual annotation of images. In these tools, images are physically annotated with keywords and then retrieved using text-based search methods. The presentations of these systems are not acceptable. The goal of CBIR is to extract visual content of an image automatically, like color, texture, otherwise shape. This paper purposes to introduce the problems and challenges concerned with the scheme and the creation of CBIR systems, which is based on a free hand sketch (Sketch based image retrieval – SBIR). With the help of the existing methods, describe a possible result how to design and implement a task specific descriptor, which can handle the informational gap among a sketch and a colored image, constructing an opportunity for the efficient search hereby. The used descriptor is built after such special sequence of preprocessing steps that the transformed full color image and the sketch can be compared. The SBIR technology can be used in few applications such as digital libraries, crime prevention, as well as photo sharing sites. Such a system has excessive value in apprehending suspects and identifying victims in forensics and law enforcement. A possible application is similar a forensic sketch to a gallery of mugshot images. The range of retrieve images based on the visual content of the query picture intensified recently, which demands on the quite wide approach spectrum on the area of the image processing.


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