| |
|
| 漏磁图像的改进灰度级—彩色变换法 |
| 彭丽莎1, 王珅1, 刘欢2, 黄松岭1, 赵伟1 |
1. 清华大学 电机系, 电力系统国家重点实验室, 北京 100084;
2. 中国矿业大学(北京) 机电与信息工程学院, 北京 100083 |
|
| Improved gray-color transform method for MFL images |
| PENG Lisha1, WANG Shen1, LIU Huan2, HUANG Songling1, ZHAO Wei1 |
1. State Key Laboratory of Power Systems, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;
2. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China |
| |
| 摘要漏磁图像的伪彩色图比灰度图具有更好的辨识效果。该文在2种传统的伪彩色编码方法的基础上, 提出了一种改进的灰度级—彩色变换法。首先根据漏磁特点确定变换的初步分段线性表达式, 再利用最大类间方差法对灰度值进行聚类划分, 计算出表达式各段的节点值, 最终得到变换后的伪彩色图像。该方法根据实际的灰度值数据确定变换的具体表达式, 具有良好的自适应性。通过实验对比, 该方法得到的图像清晰且颜色鲜明, 更有利于漏磁特征识别。 |
| 关键词 ：漏磁图像,伪彩色图像,灰度级-彩色变换法,最大类间方差法 |
| Abstract：Magnetic flux leakage (MFL) systems using pseudocolor images give better identification than grayscale images. This study combines two traditional pseudocolor coding methods into an improved gray-color transform method. Firstly, the initial transform piecewise linear expression is determined from the magnetic flux leakage characteristics. Then, the Ostu method for grey value clustering is used to get the expression node values. The transformed pseudocolor images are then obtained using the improved expression. This method based on the actual gray value to get the specific expression has good adaptability. Real tests show that this method gives clearer, more vivid images, which give better MFL characteristics identification. |
| Key words：magnetic flux leakage imagepseudocolor imagegray-color transform methodOtsu method |
| 收稿日期: 2014-08-24 出版日期: 2015-08-04 |
|
| 通讯作者:黄松岭,教授,E-mail:huangsling@tsinghua.edu.cnE-mail: huangsling@tsinghua.edu.cn |
| [1] | QU Jingyu, DU Ying. Pseudo-color coding based on visual model and perceptual space control [C]//2011 International Conference on Control, Automation and Systems Engineering (CASE). Singapore: IEEE, 2011: 1-4. |
| [2] | GUO Shijian, SUN Gang, CHEN Zengping, et al. A new pseudo-coloring coding method for DPX image [C]//2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA). Qingdao, China: IEEE, 2013: 54-57. |
| [3] | Zare M, Ampour M, Farrokhi IR. A heuristic method for gray images pseudo coloring with histogram and RGB layers [C]//2011 IEEE 3rd International Conference on Communication Software and Networks (ICCSN). Xi'an, China: IEEE, 2011: 524-527. |
| [4] | DAI Jianbiao, ZHOU Shaoxiang. Computer-aided pseudo coloring coding of gray images: complementary color-coding technique [J]. Proceedings of SPIE: Electronic Imaging and Multimedia Systems, 1996, 2896: 181-191. |
| [5] | LI Wei. Continuous pseudo-color coding of thermal image display [J]. Journal of Beijing Institute of Technology, 1997, 6(1): 37-42. |
| [6] | Levkowitz H, Herman G T. Color scales for image data [J], IEEE Computer Graphics & Application, 1992, 12(1): 72-80. |
| [7] | ZHOU Xiaodong, ZHANG Chunhua, LI Song. A perceptive uniform pseudo-color coding method of SAR images [C]//2006 International Conference on Radar, 2006. CIE'06. Shanghai, China: IEEE, 2006: 1-4. |
| [8] | 李晓冰. 自适应热金属码红外测量图像伪彩色编码方法 [J]. 激光与红外, 2012, 42(6): 659-662.LI Xiaobing. Adaptive pseudo-color coding method for hot metalcode based on infrared image [J]. Laser & Infrared, 2012, 42(6): 659-662. (in Chinese) |
| [9] | 李桂芝, 贾峰, 闫海鲲. 红外测量图像自适应彩虹码伪彩色编码方法 [J]. 长春理工大学学报(自然科学版), 2011, 34(4): 36-39, 32.LI Guizhi, JIA Feng, YAN Haikun. Adaptive pseudo-color coding method base on rainbow-code for infrared measurement image [J]. Journal of Changchun University of Science and Technology (Natural Science Edition), 2011, 34(4): 36-39, 32. (in Chinese) |
| [10] | 潘鸿飞, 梁栋, 陈军宁, 等. 基于特征模型的形状识别与聚类算法 [J]. 清华大学学报(自然科学版), 2010, 50(12): 2007-2011.PAN Hongfei, LIANG Dong, CHEN Junning, et al. Shape recognition and clustering algorithm based on a feature model [J]. Journal of Tsinghua University (Science and Technology), 2010, 50(12): 2007-2011. (in Chinese) |
| [11] | 公茂果, 王爽, 马萌, 等. 复杂分布数据的二阶段聚类算法 [J]. 软件学报, 2011, 22(11): 2760-2772.GONG MaoGuo, WANG Shuang, MA Meng, et al. Two-phase clustering algorithm for complex distributed data [J]. Journal of Software, 2011, 22(11): 2760-2772. (in Chinese) |
| [12] | Otsu N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66. |
