A Feasible Way to Enhance CBIR using Histogram of Oriented Gradients Method

8 Pages Posted: 24 Oct 2019

See all articles by Anamika Ahirwar

Anamika Ahirwar

Maharana Pratap College of Technology

Kahkashan Rehman Qureshi

Maharana Pratap College of Technology

Date Written: October 19, 2019

Abstract

Content Based Image Retrieval (CBIR) is a creating pattern in Digital Image Processing (DIP) for seeking and recovering the inquiry picture from extensive variety of databases. CBIR structure contain distinctive stages to think and match the highlights and discover the photos from the extensive scale picture databases dependent on visual substance, for example, Color, Shape and Texture as indicated by the client's advantage. To supply the sensible response to the customer inquiry, CBIR gives some keep running of work. Another strategy is arranged in this paper for shading picture ordering by building up the simplicity of SVM framework. A New strategy is proposed on this paper for hue photo ordering by means of misusing the effortlessness of the HOG technique. In this calculation, presently we have proposed a blend of shading, shape and surface highlights. In this methodology, the past work is improved to accomplish better accuracy. In this paper we propose HOG to upgrade picture quality and associated partition system to enhance result than base work.

Keywords: Content Based Image Retrieval (CBIR), Histogram of Oriented Gradients (HOG), Hue Saturation Value (HSV), Histogram Equalisation (HE), Feature Extraction (FE), Distance Matrix , Support Vector Machine (SVM)

Suggested Citation

Ahirwar, Anamika and Qureshi, Kahkashan Rehman, A Feasible Way to Enhance CBIR using Histogram of Oriented Gradients Method (October 19, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019, Available at SSRN: https://ssrn.com/abstract=3472265 or http://dx.doi.org/10.2139/ssrn.3472265

Anamika Ahirwar (Contact Author)

Maharana Pratap College of Technology ( email )

Gwalior, Madhya Pradesh 474011
India

Kahkashan Rehman Qureshi

Maharana Pratap College of Technology ( email )

Gwalior, Madhaya Pradesh 474001
India
9981951435 (Phone)

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