This article is to expand on the Gaussian Image study.
这篇文章是关于高斯扩展图像的研究。
The conception of principal direction Gaussian image (PDGI) is created.
提出了基于主方向高斯映射的概念和定义。
It plays an important role in global differential geometry to study the geometric and topological properties of Gaussian image of submanifolds.
子流形高斯像的几何与拓扑是整体微分几何领域的重要研究课题之一。
Principal directions of a rotational surface were mapped to Gaussian sphere in the algorithm, and principal direction Gaussian image(PDGI) was generated.
该算法对旋转面主方向映射到高斯球面，生成主方向高斯图像（PDGI）。
The orientation histograms are relative to the keypoint orientation, the orientation data comes from the Gaussian image closest in scale to the keypoint's scale.
指向直方图与关键点的指向相关，指向数据来源于高斯图像最接近关键点的尺度的那些值。
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。
The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel.
该函数执行高斯金字塔结构下采样的步骤。首先，它与内核的源图像进行卷积。
In order to analyze and evaluate the spectrum restoration property of image restoration algorithms, a new method based on Gaussian function is proposed.
为了对图像复原算法频谱恢复特性进行分析和评价，提出了一种基于高斯函数假设的分析新方法。
A range image segmentation algorithm based on Gaussian mixture model of surface normal is proposed.
提出了一种基于表面法向的高斯混合模型的距离图像分割算法。
A fine granularity dynamic single pixel template algorithm is proposed to resolve blur problem of image rotated by Gaussian template.
针对高斯模板用于图像旋转时，使图像产生模糊的问题，提出细粒度动态单像素模板算法。
The algorithm is analyzed in detail, and experiment result again shows that the distribution of image wavelet transform coefficients can be well modeled using the generalized Gaussian distribution.
文章对算法进行了详细的理论分析和推导，实验结果进一步验证了用广义高斯分布描述图像小波变换系数统计特性的合理性。
A novel gradient orientation histogram was built using a Gaussian-weighted circular window and a major orientation to each feature point was assigned based on local image properties.
构建了一种新的局部梯度方向直方图，同时定义了特征点的主方向，从而提出了一种具有旋转不变性的图像配准算法。
The paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.
文章提出了一种新的自适应平滑滤波方法，并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。
A planar barefoot impression image segmentation method base on Gaussian fitting is proposed.
提出一种基于高斯拟合的平面赤足迹图象分割算法。
Classical saliency-based visual attention models are adapted for embedding real-time systems with less time and space costs based on approximate Gaussian pyramids of the input image.
利用输入图像的近似高斯金字塔，将经典的基于显著性的视觉注意模型改造为时空开销更小的版本，从而使其更加适合在嵌入式实时系统中实现。
Experiments show that the algorithm can remove mixed impulse and Gaussian noise efficiently while protecting image details.
实验结果说明算法不仅能有效地滤除脉冲与高斯混合噪声，而且可以较好地保护图像细节。
The algorithm of zero-order Gaussian filtering for an open profile (GFO) was used to correct the edge of the filtered image.
并且利用零阶开环高斯滤波算法，对低通滤波图像的边缘进行了修正。
An improved fractal image denoising algorithm for removing additive white Gaussian noise (AWGN) was presented by adopting quadratic gray-level function.
提出了一种针对加性白高斯噪声(AWGN)的改进分形图像去噪方法。
The method uses the Anscombe's transformation to adjust the original image to a Gaussian noise model.
改进后的方法使用方差不变性变换来调整原始图像为高斯噪声模型。
A novel image texture feature descriptor is proposed which is insensitive to Gaussian blur and Gaussian noise.
提出了一种对高斯模糊和高斯噪声鲁棒的图像纹理特征描述算子。
The paper starts with the basic concepts of digital images. First of all, it discuss Gaussian noise and salt-pepper noise characteristics under the digital image.
本文从数字图像的基本概念入手，首先讨论了数字图像下高斯噪声和椒盐噪声的特点。
Gaussian filter was applied to the image to improve the tree crown information and control image noise.
对快鸟影像进行正射校正，运用高斯滤波进行图像增强，减少噪音，增强退耕地的树冠信息。
A new image retrieval method by using Max correlation min distance to combine together texture features, Gaussian density characteristics and face detection of images for image retrieval is presented.
提出利用最大相关最小距离将图像的纹理特征、高斯密度特征与人脸检测相结合的算法进行图像检索。
The key problem in image restoration is to get the point spread function of motion-blurred images and the knowledge about noise. Gaussian white noise is commonly assumed as the noise.
由运动模糊图像复原出原图像关键问题是获取点扩展函数和噪声信息，其中噪声通常假设为高斯白噪声。
Mathematically, applying a Gaussian blur to an image is the same as convolving the image with a Gaussian function.
数学上讲，对图像做高斯模糊等同于将图像与高斯函数卷积。
For the feature of the liver B-ultrasound image, we adopt the Gaussian low-pass filter and contrast-stretching transformation methods.
针对肝脏B超声图像的特点，本文在对图像进行预处理时采用了高斯低通滤波与灰度拉伸相结合的技术。
It is shown that the geometrical optics model can not be used to describe the object-image transformation of Gaussian beam through the lens under the general case.
结果表明，在一般情况下，几何光学模型不能描述高斯光束经这种透镜的物像变换。
First, a Gaussian distribution model for image pixel is proposed. The parameters contained in the model are adaptively updated based on the information from the current and historical frames.
首先，建立图像每一像素点的高斯分布模型，并根据序列中的当前帧及历史帧信息自适应地调整模型的参数。
And then, taking into account the specific process of automatic image annotation, we built the automatic image annotation model based on Gaussian mixture model.
再针对具体的自动标注过程，建立了基于高斯混合模型的自动图像标注模型。
And then, taking into account the specific process of automatic image annotation, we built the automatic image annotation model based on Gaussian mixture model.
再针对具体的自动标注过程，建立了基于高斯混合模型的自动图像标注模型。
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