基于梯度与颜色信息融合的水文资料图像分割  

Hydrological Sheet Color Image Segmentation Based on Gradient and Color Information

作　　者：李士进[1] 占迪[1] 高祥涛[1] 柏屏[1] 

机构地区：[1]河海大学计算机与信息学院,南京210098

出　　处：《数据采集与处理》2016年第1期94-101,共8页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金(61170200)资助项目;江苏省重点研发计划(BE2015707)资助项目

摘　　要：针对纸质水文资料数字化应用,对相机拍摄的水文资料图像进行分割,提出基于梯度和颜色信息融合的水文图像分割方法。首先利用图像在CIE Lab空间上的颜色分量特征分割出曲线,然后进行分块处理,利用梯度算子在水平和垂直方向分别判别属于网格线上的目标像素点,统计这些像素点的颜色信息,利用颜色分量关系对网格线进行初步提取,之后加入水平和垂直方向的腐蚀,合并两方向的结果得到最终的网格二值化图像,最终由曲线图像和网格图像合并后得到水文图像的分割结果。对多幅水文图像进行分割的实验结果表明,本文方法能自适应地完成对多幅图像有效的分割,并且能够减少相机拍摄光照不均的影响,有较好的鲁棒性和较低的计算复杂度。A method of to hydrological sheet color image segmentation based on gradient and color information is proposed and applied to paper hydrology data digitization to deal with the hydrological sheet images taken by camera. Firstly, curves are obtained by making use of color feature in the CIE Lab color space. Then the image is processed in a block-by-block manner. The gradient operators in horizontal and vertical directions are performed to discriminate the target pixels on the grid lines roughly. Thirdly, the color information of those pixels is obtained and the threshold to segment the grid lines are set. After getting the grid lines, horizontal and vertical erosions are implemented and most of the noise is removed. Finally, the segmented curves and the grid lines are merged and the final segmentation is established. The experimental results on several hydrological sheet color images show that the proposed method can fulfill the goal of image segmentation effectively in a self-adaption way and alleviate the effect of uneven illumination with good robustness and lower computational complexity.

关 键 词：彩色图像分割 水文资料 梯度 分块 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]