After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
在数字图像小波多分辨率分析理论基础上，采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强，然后与多光谱遥感图像进行特征信息融合。
Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.
针对模糊图像的弱点，分析了通过增强象素模糊属性对比度来提取边界特征的基本原理，实现了两幅图像的配准。
Image edge is an important feature in object recognize, image understand and image retrieval.
图像边缘是目标识别、图像理解及图像检索中常用的一个重要的特征。
As a novel biometric authentication technology, human ear recognition needs to solve the problems of image processing such as edge detection and feature extraction.
人耳识别作为新的生物特征识别技术，首先要解决作为基础的边缘检测和特征提取等图像处理方面的问题。
Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
We present a method to construct image feature vector using edge and projection of character image. The composing way and normalizing of feature vector are shown.
然后进一步提出根据图像边缘和字符投影特征构造图像特征矢量的思想，以及特征矢量的构成方式和归一化方法。
Owing to the difficulties in extracting iris edge image, a new iris location algorithm using geometric symmetry feature and edge detection from gray scale image is presented.
针对虹膜二值边缘图像提取的困难，提出利用虹膜图像的灰度边缘图像以及虹膜的几何特征进行虹膜定位的快速算法。
Objective To study the manifestation feature for breast cancer focus's edge echo image.
目的探讨乳癌病灶边缘回声图像表现特征。
A new method of adaptive threshold selection is proposed which combines the edge feature of the color image based on the theory of mathematical morphology.
提出了一种自适应图像二值化方法，它基于数学形态学理论，求取彩色图像边缘特征，并将它与灰度直方图二值化方法相结合。
And regarding Lipshitz exponents as feature parameter, it analyses image edge types.
以利普斯指数为特征参数对图象边缘类型进行了分析。
The edge is also an important feature of the image and its detection results directly affect the SAR image recognition and analysis.
而边缘也是图像的重要特征，其检测效果直接影响SAR图像的识别和分析。
Image edge detection is the first step to obtain image feature.
边缘检测是提取图像特征的首要条件。
According to the feature of ear image and requirement of extraction, this paper proposes a new edge detection method based on contour composition.
本文针对人耳图像的局部特征和识别要求提出一种基于轮廓合成的边缘检测方法。
The fuzzy direction feature combines the fuzzy image division with the fuzzy direction property feature, which describes the stroke direction property of single edge point.
用模糊方向属性特征描述单个边缘点笔画方向属性； 模糊方向特征是图像的模糊划分和边缘点的模糊方向属性特征的结合。
Edge detection is an important feature of the image, it contains the information used to identify the target.
边缘是图像的重要特征，包含了图像中用于识别目标的信息。
The edge is the important feature that human vision recognizes image target.
边缘是人类视觉识别图像目标的重要特征。
According to the feature of ear image and requirement of extraction, this paper proposes a new edge detection method based on contour composition.
采用区域性增强法对人脸图像进行预处理，用基于知识库的方法提取人脸几何特征。
Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
Sub pixel matching is carried out by superposing edge feature on image.
同时，采用特征与影像叠加进行了亚像素匹配。
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