In this paper, the image shape feature extracted by the PCA method can meet the needs of the recognition layer well.
在该文的形状识别系统中，用P CA法提取图像的形状特征，能够较好地满足识别层的输入要求。
The 'lines' need not be actual lines - they could be the shape of a path, a line of trees, a fence, river or any other feature in an image.
所谓的线并不是条实际存在的线——它可以是一条小路、一排树、一排围栏、一条河或者其他任何在图中出现的东西。
The contents in the paper include acoustic image preprocessing, feature extraction of texture and shape, and classifier design.
内容涉及声图像的预处理、纹理和形状特征的提取，以及分类器的设计等。
The results indicate this method can effectively extract texture feature of gray image target, and has robust to noise and change of target shape.
结果表明，这种特征提取方法能有效地提取灰度图像目标纹理特征，并且对噪音和形状的变化具有强鲁棒性。
Shape feature is the most suitable tool in characterizing image content object which has clear object outline.
形状特征是对图像中边界清晰的目标的最好表达方式。
Shape feature extraction and description are one of important research topics in content-based image retrieval.
形状特征提取和表示是基于内容图像检索的重要研究内容之一。
It presents the model and feature of content-based image retrieval system, and then discusses some methods of feature abstraction and similarity measurement based on color, texture and shape.
首先叙述了基于内容的图像检索的系统模型和特点，接着针对颜色、纹理和形状进行了概率特征提取、相似度量等的进一步具体分析讨论。
The angle of the least inertia moment axis of grey scale image is an important shape feature in digital image analysis.
惯性主轴的方向是数字图象分析中重要的形状特征之一。
This paper presents a trade mark retrieval method in which the shape feature and spatial relationship are both used for the purpose of making full use of image info and improving retrieval precision.
为了充分利用商标图象的内部信息，以提高商标图象的检索精度，提出了一种综合利用商标形状特征与其内部空间位置关系特征来检索二值商标图象的方法。
Corners are important local features of an image, and are the feature points that can be fully describe the shape of the object.
角点是图像的一种重要的局部特征，是能充分描述物体形状的特征点。
Traditionally image retrieval mainly relies on single feature such as color, texture, shape and spatial relationship, etc., so the result is usually not so good.
传统的基于内容的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征，检索效果往往不够理想。
Image processing, feature abstraction and classification of plant leaf shape with computer recognition system were discussed in this paper.
本文论述了植物叶形图像识别系统设计中的图像处理、特征提取及分类识别等问题。
And the image feature descriptor has a rotation, translation, scaling invariance, etc. it can be a very good to describe the shape and spatial distribution of information.
且获得的图像特征描述符具有旋转、平移、尺度不变性等优点，能够很好地描述图像的形状和空间分布信息。
When extracting the images 'feature, we major research on how to fully and effectively describe the image color, shape features, as the image itself is complex and contains mass information.
特征提取时，基于图像本身蕴含的信息复杂且庞大，主要研究了如何充分、有效描述图像的颜色、形状特征。
Shape is a very important visual and semantic feature used to depict image, and it can be revealed by image pixels' regional distribution.
图像的形状是描述图像的重要视觉和语义特征，可通过图像中像素点的区域分布表现出来。
The color of certain object surface has a constant feature, irrelevant to the object surface shape. But the color of the image is variablebecause of the existence of highlights.
某种材料表面的颜色具有与形状无关的稳定特性，但图象中表面的颜色由于存在高光和影调而是变化的。
The shape feature of the different microbiology cell varies greatly, thus the implementation of the cell image automatic counting system is very difficult.
不同类的微生物细胞其形态各异，这给微生物细胞图像自动判读系统的实现带来了很大的困难。
Finally it carries out image retrieval based on multi-feature by combining color component and shape component.
最后，将颜色特征分量与形状特征分量相结合来实现基于多特征的图像检索。
There is an interesting feature about the spring, that is, the steam of its boiled water will circle around the rim of cup and show a image just like the shape of a crane.
白鹤泉水有一个有趣的特点是，用它煮沸后沏茶，蒸腾的热气盘旋在茶杯口久久不散，形似白鹤。
An optical comparator is an instrument that projects a greatly magnified image of a part feature onto a screen for examination, to compare the shape, size, and location of its features.
这款光学比较仪，是一款可局部放大零件的设备。可用于检查设备，比较形状，尺寸和方位。主要应用于工业领域。
An optical comparator is an instrument that projects a greatly magnified image of a part feature onto a screen for examination, to compare the shape, size, and location of its features.
这款光学比较仪，是一款可局部放大零件的设备。可用于检查设备，比较形状，尺寸和方位。主要应用于工业领域。
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