摘要
色偏检测广泛应用于机器视觉相关的各种领域.而传统色偏检测方法大多依赖于一定的假设条件或先验知识.本文基于图像色彩度和色彩自然度,改进了基于图像统计信息的色偏检测方法,提出了一种基于图像颜色特征分析的色偏检测算法.实验结果表明,该算法能够消除图像中主色调对色偏检测的影响,提高色偏检测准确率,同时检测结果与人眼视觉感知系统具有较高的吻合度,并具有较强的适应性.
Color cast detection is widely used in machine vision and related fields. Traditional algorithms mostly depend on certain assumptions or prior knowledge. In this paper, a new cast detection approach based on color-feature analysis is proposed, which involves image colorfulness and color naturalness. Experiments show that this approach can eliminate the influence of dominant colors, improve the detection accuracy, match the subjective evaluation according to the human visual system, and is effective on more occasions.
出处
《计算机系统应用》
2017年第9期116-121,共6页
Computer Systems & Applications
基金
国家自然科学基金(41671441)
关键词
数字图像
色偏
图像分析
颜色特征
digital image
color cast
image analysis
color-feature
