Last, the classification image is obtained by combining each region.
最后对各个分割区域进行合并，得到最终的分类图。
The result of small-scale landscape classification image was segmented into middle-scale landscape image, and then classified.
对小尺度景观分类后的结果进行分割生成中间尺度的景观影像目标层并进行分类。
Advanced image processing algorithms assist operators with change detection, image classification, identifying anomalies and tracking patterns of activity over time.
先进的图像处理算法协助操作人员随时进行变化检测、图像分类、识别异常和跟踪活动模式。
In the practical applications of SAR image classification, we have little prior knowledge about the classes and we rarely use polar information.
在实际的SAR图像分类应用中，我们关于类别的先验知识非常少，极化信息的利用也不充分。
This paper firstly investigates the application of support vector machines for medical image classification.
本文首次采用支持向量机方法对医学图像进行了分类研究。
This paper briefly gives the basic conception of image localization and classification system at first.
首先简单介绍了图像定位和分类系统的基本概念。
Iris recognition system is made up by iris localization component, iris image preprocessing, iris feature extraction and classification.
虹膜识别系统一般可由虹膜定位、图像预处理、虹膜特征提取和分类识别几个部分组成。
Medical image classification plays a central role in automation of information system of hospitals.
医学图像的自动分类对于医院的信息自动化有重要的意义。
In this thesis, SVM as a new machine learning method is brought into medical image classification.
论文将支持向量机的机器学习方法引入到医学图像的分类问题。
In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
By means of the minimum distance classification of digital image processing, the results obtained are satisfactory.
所用方法是图像处理分类技术中的最小距离分类方法。
Use fuzziness measures as objective function of neural network can depict uncertainty of pixels' category validly so as to optimize image classification by minimizing the objective function.
使用模糊测度作为神经网络的目标函数可以有效地描述像素类别的不确定性，从而通过使其最小实现图像分类优化。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
该结果说明：不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征。
This paper sets forth an overall and systematical examination on the necessity, possibility, and classification of this characteristic, through which the image of Confucius is further supplemented.
本文比较全面、系统地考察了这一时期援《易》注经的必要性、可能性、分类及其各自特征，并通过考察援《易》解《论语》中的孔子形象进一步加以补证。
The paper designed a new histogram kernel function for support vector machines which achieved good results in image classification .
说明：为支持向量机设计了一种新的直方图核函数运用在图像分类上取得不错的效果。
This paper puts forward a new method of invariant texture classification for remote sensing image.
本文提出了一种遥感图像旋转不变纹理分类的新方法。
The invariable moment, which is invariable to the translation, scaling and rotation of image, is widely used in object recognition, image classification, image condensation, scene matching and so on.
矩不变量在图像进行平移、旋转和尺度变换时保持定值，因此被广泛使用在目标识别、图像分类、图像压缩和场景匹配等各种领域。
Invariant corner detection is a most important preprocessing step for image shape classification and recognition.
在图像形态分类与识别系统中，不变性角点检测是很重要的预处理环节。
Furthermore this algorithm has no influence on such applications as edge detection and image classification of the disguised remote sensing image which has hidden the secrete information.
此外，该算法对隐藏了机密信息后的伪遥感影像的各种应用，如边缘检测和影像分类等均没有影响。
Synthetic Aperture Radar (SAR) image classification is a key technique of SAR image interpretation.
合成孔径雷达(SAR)图像分类是SAR图像解译的关键技术之一。
The classification of halftone image is a key step in the process of inverse halftone.
半调图像分类在逆半调过程中是非常关键的步骤。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
To enhance the accuracy of image classification, proposed hybrid multiple classifier combination method from abstract level and measurement level.
为了提高遥感影像分类精度，从抽象级和测量级的两个层次出发，提出混合多分类器结合算法。
The post-processing of image classification is an important procedure in classified mapping.
图像分类后处理是图像分类制图过程中十分重要的一个步骤。
Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.
同时，系统采用了先进的图像处理和模式识别算法，以提高系统对缺陷的检出率和识别率。
Improving classification accuracy is always the focus for remote sensing image classification.
提高遥感图像分类精度一直是受到普遍关注的焦点问题。
Improving classification accuracy is always the focus for remote sensing image classification.
提高遥感图像分类精度一直是受到普遍关注的焦点问题。
应用推荐