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。
In this paper, considering the features of remote sensing images, we proposed a remote sensing image classifier using radial basis function neural network.
针对遥感图象分类的特点，提出了一种径向基函数神经网络的遥感图象分类器。
We show that even if the image classifier in the first tier is far from perfect the proposed two-tier classifier can still produce satisfactory result in classifying videos.
我们将会证明藉由我们的方法，即使使用不完美的图片过滤器，我们所提出的二阶层式分类器仍然能呈现令人满意的结果。
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。
When detecting, all Windows in scaled image series pass through the coarse filter and the main classifier, then merge, locate and output to original image.
在检测中，图像序列中的检测窗口被依次送入过滤器和主检测器，通过的窗口经过定位合并最后在原图像上输出。
This paper proposes an image multi-orthogonal projection method for face recognition based on least class distance classifier.
论文提出了基于图像多路正交投影和最小距离分类器的人脸识别方法。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
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。
Image features extraction and selection are the premise of the defects classifier built-up.
缺陷图像的特征提取和选择是缺陷分类器设计的前提。
We employ this method to extract the features of such texture image and use weighted Euclidean distance classifier to fulfill the matching and identification task.
用该方法提取纹理图像的特征，并使用加权欧式距离分类器来完成匹配工作。
As an important classifier, fuzzy clustering technique has been widely used in segmentation of MRI image and became an effective segmentation tool of MR image.
作为一种重要的分类器，模糊聚类技术在磁共振图像的分割中已经得到了成功的应用，并成为了一种有效的磁共振图像的分割工具。
Image interpretation is an important part of computer vision, which is related to many fields such as image processing, classifier designing and logic reasoning.
图象解释是计算机视觉的重要组成部分，它涉及图象处理、分类器设计和逻辑推理等许多领域。
Efficient extraction of image texture features are used on the following support vector machine classifier learning and training have a very important role.
图像纹理特征的有效提取对下面所用到的支持向量机分类器来进行学习和训练有非常重要的作用。
At last, according to the line character we designed the classifier to obtain the object image including linear distress and nonlinear ones.
然后根据裂缝的线性特征，设计分类器，得到包含裂缝及非裂缝的线性目标图。
Measure some feature of one image and take it to classifier, this is an important step of pattern recognition.
把某一图像的某种特征进行度量并交给分类器，是模式识别的重要环节。
With the data of characteristic singular values of sub-images, the Local Singular Value Vector of the whole image are combined, and are used as the input of the classifier.
子图像的特征奇异值组成整个图像的局部奇异值向量，作为分类器的输入。
Usually image recognition based on neural networks needs feature extraction, and then the features extracted are delivered to the neural network classifier.
神经网络用于图像识别一般都要提取图像特征，然后把提取好的图像特征送入神经网络识别器进行识别。
Finally, the three SVM classifier kernel functions are used to classify BSQ remote sensing image in TM6 band, the experimental data shows their feasibility and higher efficiency.
最后通过对TM 6波段bs Q格式遥感图像进行分类对比证明了SVM分类器核函数用于TM图像分类的可行性及高效性。
The traditional statistical classifier is suitable in making RS image classification in normal distribution and unsuitable in doing with the data in discrete distribution, such as the geographic data.
传统统计模式识别方法进行遥感影像分类时要求数据服从正态分布且难以加入地理辅助数据。
A classifier based on the image feature information granules is presented in the paper by analyzing and studying the image feature information's granular structure of di...
通过分析研究不同粒度的特征信息粒所形成的图像特征信息粒格结构，提出了基于图像特征信息粒格的分类器。
Bayesian classifier is excellent at simple network structure and extending easily. It is effective for classifying maize disease and it can use for reference for the image recognition re...
贝叶斯分类器具有网络结构简单、易于扩展等特点，对玉米叶部病害的分类识别效果较好，也为其它作物病害图像识别的研究提供了借鉴。
A way of face detection integrating image gray entropy features and SVM classifier is presented.
提出了一种基于支持向量机并综合图像灰度值和灰度熵的人脸检测方法。
A way of face detection integrating image gray entropy features and SVM classifier is presented.
提出了一种基于支持向量机并综合图像灰度值和灰度熵的人脸检测方法。
应用推荐