提出了结合图像灰度梯度信息和彩色直方图信息的人头识别算法。
An algorithm that integrates gray scale gradient cue and color histogram cue to detect the human head is proposed.
实验结果表明该方法比传统的离散方向采样法和灰度梯度法得到的指纹图像方向图更加准确。
The experimental result indicates that the orientation field of fingerprint from the article method is more accurate tha…
提出了一种数码相机拍摄的文本图像的二值化方法，该方法是全局阈值、局部阈值与灰度梯度方法的结合。
A binarization method for digital camerabased document image was proposed. The method is a combination of the global thresholding, local thresholding and the gray gradient method.
提出了一种数码相机拍摄的文本图像的二值化方法，该方法是全局阈值、局部阈值与灰度梯度方法的结合。
A method was introduced for horizontal vanishing point detection of perspective document image and a vertical vanishing point detection method is proposed.
但由于在合成孔径雷达图像中存在严重的相干斑噪声，有人认为使用灰度梯度提取合成孔径雷达图像的灰度边界得不到好的结果。
Because the serious noise of coherent speckle exists in the SAR imagery, some people believe that edge extraction using gradient for SAR imagery gives poor results.
针对复杂背景及目标的分形特性差异，提取图像四个方向的灰度梯度，选择最小梯度大于阈值的区域进行平滑滤波，最后对分维参数进行分段线性拉伸。
Aiming at characteristic differences of background and target, four-direction gradient is extracted out and areas with large gradient are smoothed by a linear threshold filter.
针对检测数字图像灰度梯度的最大值法，采用SOBEL边缘检测算子对数字图像进行边缘检测，并利用硬件(大规模可编程逻辑器件CPLD)实现了数字图像的边缘提取。
The article will contrapose maximum value method based on detecting image grey grad, and take example of SOBEL operator to realize digital image fringe picking up based on hardware (CPLD).
同时它利用了不同灰度值象素的梯度信息，具有较好的稳定性。
It makes use of grads information of the different gray. It has good stability.
利用视差梯度有限约束，优化灰度相关复峰集。
The gray correlation multi-peak set then was optimized by disparity gradient limited constraint.
本文采用一种基于车牌梯度直方图和灰度直方图的车牌类型判定方法。
This paper presents a method of determining the type of a VLP based on the gradient histogram and the gray histogram of the image of a VLP.
水平集方法的速度函数定义根据所利用的图像信息可以分为两大类：基于图像梯度和基于图像灰度信息。
The speed function defined in Level set method can be divided into two classes: function based on the gradient of image and function based on the image gray.
提出一种基于最大梯度和灰度相关的两步全景图拼接算法。
A two-pass Mosaic algorithm of panoramic image using maximum grads and intensity correlation was proposed.
根据纹理位于图像中灰度突变处的特点，采用典型梯度算法，对目标图像进行两次梯度锐化。
According to the feature that the surface textures locate in the sudden change areas of image grey value, the double grade sharpening was performed for the image using the typical grad algorithm.
图像复原是图像处理中一个重要的研究课题。大部分图像复原算法，都只是单纯地利用图像灰度或梯度信息，并没有考虑图像的空间结构信息。
Image restoration is an important research subject in image processing. Image gray or gradient magnitude is used in most of image restoration algorithm and spatial information is not adopted.
本文提出一种基于车牌图像梯度直方图和灰度直方图确定车牌类型的方法。
This paper presents a method of determining the type of vehicle-license-plate based on the gradient histogram and the gray histogram of the image of a vehicle-license-plate.
首先计算文本区域的灰度-梯度共生矩阵，并根据目标函数快速地找到分割的灰度和梯度最佳阈值；
The gray-gradient co-occurrence matrix of the text region is calculated, and the optimum thresholds of segmented grayscale and gradient are found quickly according to the objective function.
通过对图像的灰度直方图中加入它的梯度信息，提出了灰度-梯度的二维直方图。
In the paper, added the gradient information into the image gradation histogram, proposed the gradation-gradient two-dimensional histogram.
异源图像的成像特性不同，难以直接利用灰度和梯度进行匹配。
As different sensors have different imaging characteristics, it can hardly match multi-sensor image based on gray or gradient feature directly.
它包括二维匹配滤波预处理以增强血管的灰度，以及用灰度-梯度共生矩阵的最大熵阈值化方法。
Entropy thresholding method is an automatic technique for thresholding of digital images based on gray level-gradient co-occurrence matrix and the maximum entropy principle.
提出了一种基于灰度-梯度共生矩阵模型和最大熵原理的自动阈值化方法。
In this paper, an automatic approach for thresholding based on gray level gradient co occurrence matrix model and the maximum entropy principles is proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
结合梯度和灰度这两种图像的本质特征，提出一种基于边界梯度控制的最大熵阈值分割方法。
Combining the two essential characteristics of the image, the gradient and the gray level, a threshold segmentation approach using maximum entropy with the gradient boundary control was proposed.
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