Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

Sci. Program. Pub Date : 2022-01-12 DOI:10.1155/2022/1313819
Siyi Jia, Heng Chen
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Abstract

In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.
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基于颜色映射知识的木质建筑图像颜色识别算法
在跨媒体图像再现技术中,色彩在不同媒体之间的准确传递和再现是再现过程中的一个重要问题,而色彩映射技术是有效保持图像细节、提高色彩再现水平的关键技术。木结构在图像中的颜色与色块是不同的,图像中的每一种颜色的视觉感知并不是独立的,而且图像中的每一种颜色的像素都受到周围像素的影响,但是在图像映射的过程中,没有考虑到像素的空间,相邻像素的相互影响特别大,不会让人对所得到的地图图形特别满意。传统的色彩映射算法在图像处理过程中忽略了色彩分量引起的色彩失真,构造了色彩映射系统的框图。随着映射识别算法的不断发展,根据所建立的识别算法的流程,通过线性映射算法将图像中的最大和最小亮度值映射到显示设备的最大和最小亮度值。通过建立彩色映射图像的色彩调整方法,分析了该映射算法的处理效果。结果表明,该方法减小了图像的亮度偏差,提高了图像的色彩分辨率。
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