Title: Computer succoured vaticination of multi-object detection and histogram enhancement in low vision

Authors: Ramakant Chandrakar; Rohit Raja; Rohit Miri; Raj Kumar Patra; Upasana Sinha

Addresses: Department of CSE, Dr. C.V. Raman University, Bilaspur, India ' Department of Information Technology, Guru Ghasidas Vishwavidyalaya, Bilaspur, CG, India ' Department of CSE, Dr. C.V. Raman University, Bilaspur, India ' Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaadeswaram, Andhra Pradesh, 522302, India ' Department of Computer Science Engineering, Guru Ghasidas Vishwa Vidyalaya (A Central University), Bilaspur, C.G., India

Abstract: In this day and age, area calculation and detection methods are always in need of training data. Although, labelling objects are not volatile approaches to solve the detection problem. Recently, natural images contain multi-objects which are coming in one frame. To get a particular edge, this research performs object solarisation and also posterisation. This research mainly indicates the edge of objects by which we can separate an object by removing outside noises. The effectiveness of the proposed techniques can be proven by comparing with different methods. The novelty of the proposed method is demonstrated by experimental results and on the basis of different performance parameters. In the video frame, object detection is a challenging task, when the background changes, lighting conditions vary, and even in the presence of occlusion and clutter. The proposed algorithms detect and classify the moving objects (MO) in the given video frame. Lastly, the outcomes are proffered to corroborate the proposed method's effectiveness.

Keywords: object; edge-enhancing; histo-channel; multi-object detection; posterisation.

DOI: 10.1504/IJBM.2023.130671

International Journal of Biometrics, 2023 Vol.15 No.3/4, pp.255 - 271

Received: 24 May 2021
Accepted: 11 Jul 2021
Published online: 02 May 2023 *

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