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| 高精度自适应阈值分割算子的设计 | |
| 引用本文： | 赵大兴,王璜,朱锦雷,颜云辉. 高精度自适应阈值分割算子的设计[J]. 计算机应用, 2008, 28(7): 1742-1743 |
| 作者姓名： | 赵大兴 王璜 朱锦雷 颜云辉 |
| 作者单位： | 1. 东北大学,机械工程与自动化学院,沈阳,110004;湖北工业大学,机械工程学院,武汉,430068 2. 湖北工业大学,机械工程学院,武汉,430068 3. 东北大学,机械工程与自动化学院,沈阳,110004 |
| 基金项目： | 湖北省现代制造质量工程重点实验室基金 |
| 摘 要： | 针对复杂背景下的目标区域识别精度不高、自适应能力不足等问题，对纹理图像的特点和空间域形成规则进行了研究，提出了一种适合在非规则纹理图像中寻找目标区域的阈值分割新方法。实验表明，该方法具有良好的自适应能力。特别是在有较高能量分布的随机纹理图像中，该方法分割精度较高。 |
| 关 键 词： | 高精度 自适应能力 阈值分割 随机纹理图像 |
| 收稿时间： | 2008-01-09 |
Design of thresholding segmentation operator with high precision self-adaptive capacity |
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| ZHAO Da-xing,WANG Huang,ZHU Jin-lei,YAN Yun-hui. Design of thresholding segmentation operator with high precision self-adaptive capacity[J]. Journal of Computer Applications, 2008, 28(7): 1742-1743 | |
| Authors: | ZHAO Da-xing WANG Huang ZHU Jin-lei YAN Yun-hui |
| Affiliation: | ZHAO Da-xing1,2,WANG Huang2,ZHU Jin-lei2,YAN Yun-hui1(1.School of Mechanical Engineering , Automation,Northeastern University,Shenyang Liaoning 110004,China,2.School of Mechanical Engineering,Hubei University of Technology,Wuhan Hubei 430068,China) |
| Abstract: | Focusing on the problems about low precision and self-adaptive capacity in the identification of target area under complicated background, a new thresholding segmentation algorithm with self-adaptive capacity and high precision was introduced in the test after the investigation of texture image and the space area form rule. Results demonstrate that the algorithm has fine self-adaptive capacity. Particularly in random texture images with higher energy distribution, a high precision could be obtained with this algorithm. |
| Keywords: | High Precision Thresholding Segmentation Self-adaptive Capacity Random Texture Images |
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