本文针对现存的虹膜识别算法中的不足之处，对虹膜识别系统中的图像预处理过程和特征匹配过程进行了深入研究。
To overcome the deficiencies of the existing recognition algorithms, this thesis has studied the iris image preprocessing and the feature matching.
介绍了基于内容图像检索中多种颜色的特征提取和匹配算法，以及加权欧几里得距离、中心距的加权距离、直方图交集算法等。
Introduces color feature extraction and matching algorithms in content-based image retrieval, such as weighted Euclidean-distance, weighted centre distance, histogram intersection algorithm, etc.
本文以提取遥感图像中的直线特征为基础，深入研究了机场和桥梁两种直线性目标的识别方法及有关的直线段匹配算法。
This dissertation studies on the recognition methods and related line matching algorithm for airport and bridge targets based on the linear features extracted from remote sensing image.
提出了基于特征和时空关联的积相关图像匹配算法。
A product correlation algorithm of image registration based on feature and spatial-temporal correlation was presented.
提出了一种利用模板匹配与遗传算法的人脸图像特征提取的方法。
A method of extracting eye and mouth features from facial images using deformable templates and genetic algorithms is described.
现有的静止图像人脸检测算法主要有四类：基于知识的方法、基于特征不变量的方法、基于模板匹配的方法和基于表象的方法。
The existing face detection methods can be classified into four categories: Knowledge-based methods, Feature invariant approaches, Template matching methods and Appearance-based methods.
论文研究了一种基于人工特征图标的图像间特征点自动匹配新算法，较好地解决了对应点匹配问题。
We have studied a new algorithm of feature point correspondence based on artificial landmark, solved the problem of feature point match between images.
基于SIFT特征匹配思想，提出一种快速、准确的图像拼接算法。
A fast and accurate image stitching algorithm based on SIFT feature matching is proposed.
提出了一种以中心矩作为匹配特征，基于积分图像的思想，并采用粗、精阶段相结合的相关跟踪算法。
A new algorithm based on the characteristic of centralized moments and the idea of Integral-Images, which combined two-stage cross correlation tracking algorithms was described.
摘要 ：改进了传统的尺度不变特征变换（SIFT）算法，使其在进行图像匹配的同时，可以求取出物体的旋转角度。
Abstract : The Scale-invariant Feature Transform(SIFT) algorithm was improved in this paper, which could match two pictures and could also compute the object rotation angles in the pictures.
本文算法首先对立体图像对中的左图像进行DT网格剖分，把各三角形的顶点作为“特征点”在右图像中寻找它们的匹配点。
The algorithm first describes the left image with DT mesh. As feature points, the vertexes of triangulations are matched in the right image for finding their corresponding points.
针对采用图像二维不变矩匹配时，计算量大、耗费时间长的缺点，提出了一种基于不变矩特征匹配的快速目标检测算法。
To improve the speed of matching with two dimension invariant moment of image, a fast target detecting algorithm based on invariant moment is put forward.
为了实现长基线图像特征点的立体匹配，提出了一种新的基于特征点仿射变换不变性的匹配算法。
In order to provide the feature points stereo matching between two wide baseline images, a novel algorithm based on affine invariant feature of the feature points is proposed.
本文提出一种图像特征点匹配算法，并在该算法的基础上形成构建全景图的图像拼接算法。
This paper presents an image feature matching algorithm, based on what an image stitching algorithm can be functioning.
基于以非相干光相关器为核心的光电混合图像处理系统，实现了基于光学沃尔什变换特征提取的图像匹配算法。
Based on a hybrid opto electrical image processing system with an incoherent correlator, the image matching algorithm using optical Walsh transformation is realized successfully.
与传统特征算法相比，可以提高对不同光照环境图像匹配的鲁棒性和匹配精度。
This algorithm could improve the robust to lightness change for images of lunar region and accuracy in the later matching phase.
提出一种新的指纹特征点匹配算法，通过指纹特征点匹配来实现指纹图像的匹配。
It is proposed a new fingerprint minutiae matching algorithm and done fingerprint images matching through minutiae matching.
本文的主要任务是基于图像处理方法，提取碎片轮廓特征，利用形状匹配的算法完成碎纸片的拼接。
The main task of this paper is based on the processing of image, extracting contour of ripped-up papers, and using shape matching algorithm to stitching of these ripped-up papers.
针对上述问题，提出一种新的图像匹配判决算法——利用特征点序列截断的匹配判决。
Aiming at these problems, a new decision algorithm for image matching decision is proposed which USES the truncation of the feature point sequence.
然而，由于图像噪声、特征点提取算法以及非匹配点的局部相似性和遮挡的影响，相关匹配中必然存在较多的误匹配。
However, due to the image noise, feature extraction algorithm, as well as local similarity of non-stereo matching points, there must be some false matching between the images.
该算法使用角作为图像匹配选取的特征，通过仿射不变处理，消除图像缩放、扭曲、旋转和平移等变化产生的影响，提高了特征匹配的精度和正确匹配率。
It selected corners as features, removed influence of image stretch, skew, rotation, and translation by calculating affine invariant, so matching accuracy and speed were improved.
图像匹配完成后，本文使用RANSAC算法来估算变换矩阵，通过剔除外点，估算出最佳特征矩阵。
When finishing the feature points matching, the thesis use RANSAC method to calculate the transformation matrix.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
基于同一物体的两幅图像，给出了其特征匹配和三维重建的算法，并通过实验数据分析了此算法的有效性。
In this paper, the algorithm of points matching and reconstruction across images is presented. Experimental results on synthetic and real data demonstrate the effectiveness of the method.
数值实验表明该算法能够更好的匹配图像的几何特征，具有更好的可控性和图像重构效果。
Numerical results show this method is capable of matching the geometrical characteristics of images and has better steerability as well as reconstruction result.
介绍了一个应用于自动识别遥感图像中的特定目标的原型系统，包括系统结构与识别流程，以及系统中所采用的基于直线特征的建模方法和图像与模型匹配算法。
A system applied to recognize specialized objects automatically in remote sensing images is presented in this paper. The architecture of system and the flow of process are introduced.
摘要：针对图像特征提取与匹配的适应性和准确性的问题，本文提出将尺度不变特征变换算法应用到图像特征点提取与匹配。
Abstract: in order to improve the stability and reliability of image matching, this paper applied the scale invariant feature transform algorithm to image matching.
摘要：针对图像特征提取与匹配的适应性和准确性的问题，本文提出将尺度不变特征变换算法应用到图像特征点提取与匹配。
Abstract: in order to improve the stability and reliability of image matching, this paper applied the scale invariant feature transform algorithm to image matching.
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