融合MRF&Retinex的暗原色彩图分割

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2387-2394.

融合MRF&Retinex的暗原色彩图分割

苗永春, 程艳

江西师范大学计算机信息工程学院,南昌 330022

收稿日期:2015-06-07 修回日期:2015-07-24 出版日期:2015-10-08 发布日期:2020-08-07
作者简介:苗永春(1990-),女,安徽亳州,硕士生,研究方向为计算机图形学,图形图像处理与模式识别;程艳(1976-),女,江西婺源,博士,教授,研究方向为数据挖掘、虚拟学习社区。
基金资助:
国家自然科学基金项目(61262080); 江西省科技支撑计划重点项目(20151BBE50121)

Dark Color Image Segmentation Method Integrated MRF & Retinex

Miao Yongchun, Cheng Yan

School of Computer Information Engineering, Jiangxi Normal University, Nanchang 330022, China

Received:2015-06-07 Revised:2015-07-24 Online:2015-10-08 Published:2020-08-07

摘要/Abstract

摘要： 针对传统彩色图像分割方法对分割夜间图像易受噪声干扰、图像质量差、图像可辨识性低等问题的影响,提出一种新的融合MRF&Retinex的暗原色彩图分割方法。建立 -LPG-PCA 滤波模型,对图像进行平滑处理;对降噪后的图像构造优化的颜色恢复函数,将RGB颜色空间转换为HSV颜色空间,建立MRF&Retinex模型,对图像进行增强运算和颜色校正;利用MRF&FCM聚类方法进行图像分割。实验结果表明：该算法可以有效地增强夜间彩色图像,抑制噪声,提高图像的峰值信噪比,而且能够更好地实现夜间彩色图像的分割。

关键词: 暗原色彩色图像分割, MRF, Retinex, -LPG-PCA, FCM聚类

Abstract: Given the interference from noise, poor quality and low identification of the night images, it is difficult to segment them by traditional color image segmentation method. Therefore, a novel dark color image segmentation method integrated MRF&Retinex was proposed. The -LPG-PCA filtering model was built to filter out noise of an image. The recovery function of the denoised image was constructed, before converting RGB color space to HSV color space, and the MRF & Retinex model was built for image enhancement and color correction operation. The denoised and enhanced color image was segmented by the MRF&FCM clustering method. The experimental results show that the algorithm can effectively enhance night images, eliminate noise as well as improve the peak signal noise ratio, and can achieve desirable results in dark color image segmentation.

Key words: dark color image segmentation, MRF, retinex, -LPG-PCA, FCM clustering

中图分类号:

TP391.41

苗永春, 程艳. 融合MRF&Retinex的暗原色彩图分割[J]. 系统仿真学报, 2015, 27(10): 2387-2394.

Miao Yongchun, Cheng Yan. Dark Color Image Segmentation Method Integrated MRF & Retinex[J]. Journal of System Simulation, 2015, 27(10): 2387-2394.

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