Colour image reconstruction in indoor space based on machine vision

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%.