Academy of Fine Arts, Beihua University, Jilin 132013, China.
J Environ Public Health. 2022 Sep 12;2022:8493528. doi: 10.1155/2022/8493528. eCollection 2022.
The naive Bayes classification algorithm is used to determine the plane feature vector, and the color image enhancement algorithm based on the visual characteristics is used to improve the local contrast of the plane visual image. In addition, based on the visual perception intensity of each region of the interactive interface and the importance of visual perception elements in the edge contour, a hierarchical optimization model of graphical HMI is established, which is solved by the genetic algorithm. Finally, it has been proved that this system has high efficiency in image color processing, and the image enhancement effect is better, which meets the requirements of human visual perception. The contribution of this study lies in the design of the human-computer interface plane visual image color enhancement system, so as to improve the visual effect of plane visual image color.
朴素贝叶斯分类算法用于确定平面特征向量，基于视觉特征的彩色图像增强算法用于提高平面视觉图像的局部对比度。此外，基于交互界面每个区域的视觉感知强度和边缘轮廓中视觉感知元素的重要性，建立图形 HMI 的分层优化模型，通过遗传算法求解。最后，证明该系统在图像颜色处理方面具有高效率，并且图像增强效果更好，满足了人类视觉感知的要求。本研究的贡献在于设计人机界面平面视觉图像颜色增强系统，以提高平面视觉图像颜色的视觉效果。
