| 1. | Fingerprint image feature extraction mainly extracts the minutiae and their positions
指纹图像的特征提取主要是提取指纹的细节特征及其位置。 |
| 2. | Simulation experiments of image features extraction show that the effect is ideal , its processing speed is fast and this scheme is feasible
图像特徵提取仿真实验结果表明：效果理想，处理速度快，方案可行。 |
| 3. | Pulse coupled neural network ( pcnn ) is a new generation of artificial neural networks and is characterized with adaptive image separation and adaptive image feature extraction
脉冲耦合神经网络是新一代的人工神经网络，具有优良的自适应图像分割和自适应图像特征提取能力。 |
| 4. | The main content of this dissertation can be summarized as follow : 1 . a global image feature extraction method based on sparse coding is proposed to extract the feature of human facial images
本论文重点研究了人脸及表情的特征提取与识别问题，论文的主要创新点包括以下几个方面： 1 .在人脸图像特征提取方面，提出了一种基于稀疏编码的人脸整体特征提取方法。 |
| 5. | Correlation based on fourier transform ( ft ) is one of the most important mathematical operations that can be optically implemented because it can be used for pattern recognition and image feature extraction , and so on
基于傅里叶变换的相关是在光学上能够实现的一种重要运算，它已用于模式识别和图像特征提取等。但传统的相关操作具有平移不变特性，因而具有局限性。 |
| 6. | In this article , pattern recognition is used as theory foundation and image process technology as basic technology . combining with the new theory tools ( wavelet analysis and neural network ) , this paper presents effective resolve methods to three parts of image recognition ( image segmentation , image feature extraction and image classificaton ) thought systemic analysis of it
文中以模式识别为基本理论平台，以图像处理技术为基本手段，结合新兴领域的理论工具(小波分析，神经网络等) ，分别对图像分割，图像特征提取，图像分类识别三个问题作了系统研究，并提出了有效的解决方法。 |
| 7. | For image feature extraction , two feature extraction methods based on mathematical morphology are proposed . one is a morphological edge extraction algorithm by using multiple structure elements , which can achieve both the edge magnitude and orientation , and is precise , quick , and immune to noise
在图像特征提取的研究中,提出了两种基于数学形态学的特征提取方法:一是组合多种结构元素的形态学边缘提取算法,具有同时确定边缘幅度和方向的能力,而且检测精度高,运算速度快,抗噪性强。 |
| 8. | Rather , in this paper , two straightforward image projection techniques , termed image principal component analysis ( 1mpca ) and image fisher linear discriminant analysis ( imlda ) , are respectively developed to overcome the weakness of the conventional pca and lda as applied in image feature extraction
在orl标准人脸库和nust603人脸库上的试验结果表明，与通常的主分量分析与线性鉴别分析方法相比，图像投影鉴别分析与主分量分析技术将特征抽取的速度提高了一个数量级以上。不仅如此，其识别精度依然高于传统的eigenfaces与fisherfaces方法。 |
| 9. | Under these conditions , the aim of this thesis is to study image feature extraction , image stabilization and tracking algorithms systematically , to explore and summarize an applicable objects tracking scheme , based on the available research work . then , with a better understanding , we hope to make some improvements
面对这种研究现状，本文试图在前人工作的基础上，通过对特征点检测、图像稳定和跟踪算法的分类研究，探索和总结出一个实用的目标跟踪方案，并期望在此基础上增强对算法的理解以及对某些问题的求解提出改进。 |
| 10. | For the detecting and tracking of objects in a static background , we summarize mature detecting algorithms , compare the adjacent frame difference method with the adaptive background difference one and implement an automatic object detecting and tracking system based on adaptive background difference and kalman filtration . as for image feature extraction , we systematically summarize available extraction methods and present the definition of image feature points
静止背景中目标检测和跟踪方面，本文在前人大量工作的基础上，总结了成熟的静止背景中目标检测算法，试验对比了瞬时差分法和自适应背景相减法，提出并实现了一个基于自适应背景相减法和卡尔曼滤波的自动目标检测和跟踪系统。 |
