By applying wavelet analysis method to image edge detection, multi scale operator of wavelet analysis functions well for noise resisting ability and picture edge reserving.
将小波分析方法应用于图像边缘检测领域，小波分析的多尺度算子在抗噪声和保留图像边缘的能力上有比较好的效果。
An approach of image feature representation that combines the multi-scale image decomposition technique and contour theory is proposed.
结合多尺度图像分解技术和等高线理论提出了一种图像特征表达方法。
Filtering the intensity image by CB morphological filters, the idea of CB morphological scale space is constructed, by which to realize multi scale corner detection.
用CB形态滤波器对灰度图进行滤波，构成CB形态学尺度空间，以实现对拐角的多尺度检测。
The second chapter described the Algorithms of Object- oriented remotely sensed information extraction based on multi-scale and character expression of remotely sensed image.
第二章阐明了基于多尺度的面向对象的遥感信息提取算法，以及影像特征表达方式。
In this paper, a new method of multi-scale and adaptive thresholds edge detection for image based on wavelet transform was adopted to detect edge of traffic vehicle.
本文把基于小波变换的多尺度自适应阈值图像边缘检测的新方法应用于交通图像边缘检测。
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。
This paper expatiates the notion of image fractal dimension and multi-scale fractal feature, proposes a ship target detection method based on multi-scale fractal feature.
阐述了图像分形维和多尺度分形特征的概念，提出了一种多尺度分形目标检测方法。
While wavelet transform is suitable in image compression due to its multi-resolution and multi-scale analysis property, and is used in the standards of image compression.
小波变换具有多分辨率和多尺度特性，特别适合于二维图像信号的处理，目前已应用在静止图像的压缩标准中。
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 order to get anti-noise and good localization image edges, a new fuzzy multi-scale edge detection algorithm is presented in this paper.
为了获取抗噪性强、定位准确的边缘，本文提出了模糊多尺度边缘检测算法。
First, this paper st udies those visual features which have be en usually implemented in image correspondence including multi-scale features.
首先，本文研究了在图像配准中常用的一些视觉特征，其中包括多尺度的特征。
General linear and nonlinear smoothing in an intensity image can blur corners seriously, so its difficult to detect corners by a multi scale approach.
对灰度图进行一般线性和非线性平滑会极大程度地模糊拐角，使得多尺度方法难以用于拐角检测。
In this paper, the orange outer quality detection is carried by the orange infrared spectroscopy and the orange image character based on multi-scale geometry analysis and machine learning.
本文基于多尺度技术和机器学习结合柑桔图像特征和红外光谱特征进行柑桔外在品质检测。
Bit plane coding is a two-tone coding technique for the multi-gray scale image.
比特平面编码是一种多值灰度图象的二值编码技术。
Support vector value contourlet transform, which is constructed by support vector machine, is a new kind of image representations which is of multi-scale, multi-direction and shift-invariance.
利用支持向量机构造的支持向量值轮廓波变换是一种具有多尺度、多方向和平移不变性的图像表达方法。
Methods Without the priori knowledge, using the image grey-scale average method (IAM) to implement multi-group experiments.
方法在无需先验知识的情况下，利用IAM方法进行多组实验。
On the basis of expounding the basic principle using 2-d wavelet transform for seismic attributes data, the paper built up the effective flow used for multi-scale edge detection of image.
本文在阐明二维小波变换用于地震属性数据基本原理的基础上，建立了小波变换用于图像多尺度边缘检测的有效流程。
Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps.
首先在画素级上提取影像的纹理和形状结构特征，在构建的多尺度分割集影像上提取物件的区域光谱特征。
A set of digital image processing algorithms based on multi-scale transform is proposed according to the characteristics of 3-d digital holography.
针对三维物体数字全息实验系统的特点，提出了基于多尺度变换的数字图像处理方法。
Input image is resampled via constant ratio in order to deal with the problem of multi scale detection.
采用比固定比率压缩输入图象的方法解决不同尺度有脸的检测问题。
Combined with the characteristics of seismic image noise, using multi-scale wavelet transform, presents a new adaptive wavelet threshold denoising algorithm.
结合地震图像噪声的特点，利用多尺度小波变换的优点，提出一种新的自适应小波阈值去噪算法。
The features extract method of MCSF based on wavelet multi-scale transform is that the image feature of coefficient sub-frequency is decomposed with 3 layer of wavelet multi-scale transform.
基于小波多尺度分解子带主成份的特征提取法，利用小波多尺度分解子带系数图像特征。
Through searching the local maxima of multi-scale normalized Laplacian filters of the probability distribution image the target is located and its size is determined.
最后通过检测多尺度规范化Laplacian滤波的极值，实现目标的定位和尺寸描述。
Edge detction based on wavelet multi-scale identity is made. The statistics features based on regional gray and the co-occurrence matrix of gray level are taken as performing image segmentation.
该系统先对粮虫图像进行小波边缘提取，根据灰度共生矩阵和局部统计方法提取小波分割后的图像纹理特征。
Edge detction based on wavelet multi-scale identity is made. The statistics features based on regional gray and the co-occurrence matrix of gray level are taken as performing image segmentation.
该系统先对粮虫图像进行小波边缘提取，根据灰度共生矩阵和局部统计方法提取小波分割后的图像纹理特征。
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