Title: Colour image reconstruction in indoor space based on machine vision

Authors: Zhang Na

Addresses: Hainan Vocational University of Science and Technology, Haikou Hainan, 570000, China

Abstract: In order to solve the problems of low accuracy and long time consumption in colour image reconstruction in indoor space, a colour image reconstruction method in indoor space based on machine vision is proposed. Through obtaining the maximum and minimum grey value of colour image in indoor space, the colour image features are extracted according to the brightness contrast of colour image channel; the brightness gain value is set; the colour of the base colour and the initial image are mixed to enhance the colour image in indoor space. The SDF value of the colour image in indoor space is obtained by using the voxel mapping method of machine vision algorithm, and the overlapping parts of each frame of the image are fused to realise the colour image reconstruction in indoor space. The experimental results show that the highest accuracy of the proposed method is 98%.

Keywords: machine vision; indoor space colour; image reconstruction; image enhancement.

DOI: 10.1504/IJICT.2023.128743

International Journal of Information and Communication Technology, 2023 Vol.22 No.2, pp.117 - 132

Received: 08 Dec 2020
Accepted: 15 Jan 2021
Published online: 02 Feb 2023 *

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