Content-Based Image Retrieval System Using Sketches and Colored Images

Prashanth Kumar Bandarapalli; B. N. Swamy

CALL FOR PAPERS : Feb-2026

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25-Feb-26

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Content-Based Image Retrieval System Using Sketches and Colored Images

Author(s):

Prashanth Kumar Bandarapalli , PVP Siddhartha Institute of Technology; B. N. Swamy, PVP Siddhartha Institute of Technology

Keywords:

Content Based Image Retrieval (CBIR), Sketch Based Image Retrieval (SBIR), Edge Histogram Descriptor (EHG), K-Means Clustering Algorithm

Abstract:

The content based image retrieval (CBIR) is one of the most popular, rising research areas of the digital image processing. Most of the available image search tools, such as Google Images and Yahoo! Image search, are based on textual annotation of images. In these tools, images are manually annotated with keywords and then retrieved using text-based search methods. The performances of these systems are not satisfactory. The goal of CBIR is to extract visual content of an image automatically, like color, texture, or shape. This paper aims to introduce the problems and challenges concerned with the design 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 solution how to design and implement a task specific descriptor, which can handle the informational gap between a sketch and a colored image, making an opportunity for the efficient search hereby. The used descriptor is constructed after such special sequence of preprocessing steps that the transformed full color image and the sketch can be compared.