| 1. | This paper studies the feature extraction of linear objects in remote sensing images and the computer - aided auto - recognition of airports
本文研究遥感影像线状目标的特征提取和机场目标计算机自动识别方法。 |
| 2. | Now , the extraction of motion object in dynamic background is a important developing - direction in digital image process , and it is very significative
当前动态背景中运动目标的处理是数字图像处理领域中的一个重要发展方向，对于运动目标的特征提取具有深远的意义。 |
| 3. | This paper defines four features of a target based on ir radiation characteristics , the fusion feature was presened after the four features were normalized and weighted
摘要针对复杂背景下的红外弱小目标的特征提取问题，提出了一种实用的红外目标的特征量提取算法。 |
| 4. | Eradiate noise recognition obtains feature information of movement under - water target , which is produced by passivity sonar , and then decides its category by referring to a priori knowledge
本文的研究方法是从目标产生的辐射噪声中提取出目标的特征信息，结合已有的先验知识，对目标的类别做出判断。 |
| 5. | To improve the stability of target tracking , we had worked on the follows : ( 1 ) computer simulation technology in active illumination environment . ( 2 ) research of target extract algorithm
为提高主动照明跟踪的稳定性，本文就湍流下的主动照明目标的特征从仿真方法和照明目标特征提取算法两方面展开研究。 |
| 6. | At last , i conclude a way to increase the recognition ratio of the under - water target . the method of this dissertation is to distinguish the property of the under - water target by eradiate noise
主要的工作是在前期研究的基础上，利用已有水中目标的特征提取和识别方法，应用人工神经网络技术，总结出一种水下目标识别方法。 |
| 7. | At the same time , dominant points is useful for their visual feature stability in feature match . in this paper , we propose a simple dominant points algorithms in the cases where the dominant points are very distinctly
同时，在图像轮廓角点特征比较明显的情况下，用角点提取技术提取目标的特征点集，并设计了点集匹配函数，用于目标间的匹配与跟踪。 |
| 8. | Chapter 1 is introduction , represented the advance of study task , automatic recognition technology of cannonball ' s defection include edge detection , feature extraction and pattern recognition , and solving project of the system
本文的第一章是绪论，阐述了研究课题的提出，对炮弹装药自动识别技术包括图像边缘检测技术、目标的特征提取技术、目标的模式识别技术进行了概述，提出系统的解决方案。 |
| 9. | 3 ) using the capability of tms320c5409 , all the algorithms of separating a target from its background , extracting the character and identifying the target are operated in " parallel " . for example , during the separation of target from its background the characters of the target were picked up
利用tms320c5409的特点，将目标分离、特征提取、目标识别等算法的操作“并行”进行，如在目标和背景分离的过程中提取目标的特征量，大幅度提高了系统的运算速度。 |
| 10. | Then the markov random fields ( mrf ) theory was used to segment target df active illumination by light and sobel - transform information in this article . to make mrf algorithm suitable in actual setting , some technologies were analysis to make extracting steady . according to the analysis of laser beam through atmosphere turbulence , we found that : 1
其次，围绕目标的特征提取问题，文中讨论了含噪照明目标图像的分布特点，并从亮度和边缘变化方面对照明光束远场特征进行了分析和归纳，提出采用基于mrf理论对照明目标分割来提取目标形心特征的方法。 |
