轨迹测量系统中特征点检测技术研究。
Study of feature points detecting technique for trajectory measurement system.
其次，对特征点检测与匹配算法进行研究。
Secondly, this paper presents an algorithm for feature point detection and matching.
进行了心电信号预处理和基本特征点检测的研究。
The ECG preprocessing and characteristic point detection are studied.
针对三维空间碎片的拼接，提出一种轮廓提取和特征点检测的方法。
An approach to contour extraction and feature point detection in the 3-d fragment reassembly is proposed.
本论文主要内容包括心电信号预处理技术、特征点检测技术以及诊断技术的研究。
The following work has been performed in this research: The ECG preprocessing and characteristic point detection are studied.
通过对现有的特征点检测算法的分析与比较，提出了一种控制点的检测与匹配算法。
The paper proposed an algorithm for detecting and matching control points based on the analysis and comparison of the present algorithms for detection of significant points.
软件包括信号采集模块、信号预处理模块、特征点检测模块、等时图生成模块、输出显示和打印模块组成。
The system's software include signal acquisition module, signal preprocessing module, character point detecting module, isochrone map construction module, output display and print module.
本文还将相机标定、边缘与特征点检测技术、图像匹配技术结合起来，实现了钢轨剖面磨耗的钢轨磨耗测量系统。
This combined the camera calibration with the border and special point detection technology, and implemented a kind of steel rail profile abrasion measurement system.
在众多图像特征中，角点不仅具有最少的数据量，而且稳定性极高，这使角点检测成为特征提取的重要分支。
Among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
研究了噪声环境下，利用短时能量为特征进行语音端点检测的问题。
This paper analyzes speech endpoint detection based on short-term energy feature in the presence of noise.
本文提出了两种特征处理方法：特征的似然度加权和基于散度的维数缩减，来提高噪声下端点检测的性能。
This paper proposes two new methods: feature weighted likelihood and divergence based dimension reduction to improve detecting performance in noise.
提出的过零点检测算法，较好解决了脉搏信号时域特征点参数多，分析复杂，误差较大的问题。
The algorithm of measuring zero-crossings can better solve the problems that the characteristic parameters of the pulse signal are complicated in the time field and the measuration errors are greater.
另外，在前端的端点检测中采用一种新的对数能量特征作为判别依据，以进一步改善识别效果。
In addition, to gain a higher rate, a new logarithmic energy feature is adopted in endpoint detection.
在此基础上提出了IC A能量(ICAE)和滤波icae (FICAE)特征来进行端点检测。
On the basis, the characteristics called the ICA Energy (ICAE) and the Filtered ICAE (FICAE) are used for the noisy signal endpoint detection.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
在样本和待配准图像相同几何方向上，先以方向边缘点检测算子检测目标区的数个边缘点作为特征点。
In the same geometrical direction of the sample to be registered and its neighboring images, some edge points are first detected as the characteristic points with directional edge-detection operator.
首先改进Harris角点检测算法，有效提高所提取特征点的速度和精度。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
首先改进Harris角点检测算法，有效提高所提取特征点的速度和精度。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
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