边缘检测是提取图像特征的首要条件。
Image edge detection is the first step to obtain image feature.
然后给出了一种新的图像特征提取方法。
So, a new feature extraction method for color image has been proposed.
本文提出一种图形、图像特征的抽取方法。
In this paper, we introduce a extraction method of the characteristics of picture and image.
进行图像特征参数分析。
在哈希算法中，图像特征的选取是其中关键的一步。
The selection of the image character is the key procedure in the harce algorism.
目的探讨原发性脾脏肿瘤的超声图像特征的诊断价值。
Objective To investigate the diagnostic value of ultrasonography on primary splenic neoplasms.
物体在不同的波段所成的红外图像有不同的特征。
The infrared images of an object in different wave band have different characteristics.
图像的边缘包含了目标的大量特征信息。
The image edges included most feature information of the target.
再提取图像的边缘特征。
图像右下部的显著特征是红色的复杂气泡结构。
Particularly striking is the red, intricate bubble in the lower right part of the image.
基于特征的图像配准方法，是研究较早较成熟的一种方法。
Much research has been made on feature based image registration.
如何搭配只在一个给定的两个图像的部分特征？
图像汉字特征提取。
用阈值分割方法对图像信息特征进行提取。
Image character information is dug up with dividing up threshold value.
纹理是图像中一个重要的特征。
纹理作为一种重要的视觉特征，广泛应用于图像分析。
Texture is one of the important visual features in image analysis.
掌握牛肉肌肉的颜色特征有助于进一步的图像分析。
To grasp the HSL character of beef pixel will contribute to image analysis further.
颜色是图像的最显著特征。
研究了局部放电灰度图像的统计特征。
The statistic character of PD gray degree images are studied.
在图像模式识别中，面积是很重要的特征。
In the image recognition, the object's area is a very important characteristic.
目的探讨乳癌病灶边缘回声图像表现特征。
Objective To study the manifestation feature for breast cancer focus's edge echo image.
彩色信息常常作为一种有效的特征，在图像分割中得到应用。
Color information is usually an effective feature in image division.
边缘是人类视觉识别图像目标的重要特征。
The edge is the important feature that human vision recognizes image target.
生物图像识别技术是利用人的生物特征进行身份验证的技术。
The biometric technology is a technology to recognize a person with one's biology feature.
其次，对手指静脉图像进行特征提取。
Secondly, the features are extracted from the finger vein image.
分类器对特征信息进行分类，得到人脸图像的类别信息。
Then, class information is obtained from the features in the classifier part.
最后用正确的特征点匹配对实现图像的配准。
Finally with the correct feature point matching for image registration implementation.
介绍了一种基于边缘特征的图像配准方法。
An image registration method based on edge features is presented.
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。
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。
Image edge is an important feature in object recognize, image understand and image retrieval.
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