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The algorithm is applied on TMS320DM6437 DSP, and the experimental results show that for a 768 pixels ×494 pixels image, the correction time is 0.036 s. The correction error is within 0.31 pixel and the edge information loss and inanition are effectively avoided.

将该算法在TMS320DM6437DSP上实现,实验结果表明,校正一幅像素为768×494的图像所用的时间为0.036s,畸变校正的误差在0.31个像素以内,有效地避免了边缘信息丢失、空洞及灰度失真现象。

This system begins with investigating the saturated clay from the Pearl River Delta. By taking original earth to obtain the original microstructure-clay sample the interstice rate and the three-dimensional information from the image are calculated.

本系统从研究珠江三角洲饱和粘土的微结构特性入手,通过取原状土样,用电子显微镜扫描拍摄原状结构的像片,对原状结构的图像进行空隙比与空隙率计算,从二维粘土微粒结构的灰度图像中计算其三维信息。

This paper analyses some problem of applying the transform to edge detection and presents a method of estimating homogeneity scale parameter using local information.

通过分析该变换用于边缘检测而产生的一些问题,给出了使用图象局部信息估计灰度尺度的方法。

Due to color image providing more information than monochrome image, color image processing is being paid more and more attention.

由于彩色图像提供了比灰度图像更为丰富的信息,因此彩色图像处理正受到人们越来越多的关注。

This paper is based on the largest mutual information by using image registration method based on gray level and character.

提出了一种以最大互信息为基础,综合利用了基于灰度和特征的图像配准方法。

The intensity of pulse noisy pixels significantly differs from adjacent pixels of image. The de-noising will be accomplished by modifying the intensity of the noisy pixel according to the firing patterns of adjacent neurons of PCNN. At last, this dissertation suggests a new kind of filter for de-noising pulse noise based on the PCNN and median filter. It is very simple, and the simulation experiment of the image processing shows that the de-noising effect is much better than neighborhood averaging method and median filter.

一般脉冲噪声点与其所在图像像素灰度值之间相关性很差,而PCNN脉冲耦合神经网络能使相似神经元同步激发;这就决定亮点脉冲噪声像素对应神经元会在其区域所在相邻神经元中首先激发,为此结合中值滤波,我们提出了结合PCNN脉冲耦合神经网络和中值滤波的混合滤波新算法,理论分析和实验证明,该方案在滤除噪声的同时,比常规中值滤波更有效地保持了图像的高频细节信息。

Weber's law tells us that the same variation under different backgrounds will cause different perceptual feelings, thus an ideal image processor has to take into account the effects of vision psychology and psychophysics.

图像融合的目的是将原图像中的重要信息保留到融合结果中去。韦伯定律告诉我们不同背景下的同样的灰度变化给人的干支是不同的,所以一个理想的图像处理算法必须考虑视觉原理。

Experimental results show that it outperforms the discrete wavelet transform approach with 33% to 36% reduction in root mean square error, 0.9% to 53% improvement in standard deviation of gray level, 39% to 42% enhancement in mutual information, and 0.3% to 38% improvement in space frequency.

实验结果表明,与小波变换融合方法相比,均方根误差减小了33%~36%,灰度标准差提高了0.9%~53%,互信息提高了39%~42%,空间频率提高了0.3%~38%,客观评价准则与目视效果吻合良好。

However, there is a singular grey space for representing the infrared object in the infrared object tracking scenario.

但在红外目标跟踪中,由于单一灰度特征空间缺乏描述红外目标的信息,使得基于均值移位算法的红外目标跟踪不稳健。

The invention discloses the anti-fake method by using the 3D stereoscopic icon, which can show 3D stereoscopic icons and hide the confidential image information in the 3D stereoscopic icons, comprising the following steps of: obtaining parameters, inputting confidential images and grey images; then using a visual divided storage method to build n visual divided storage images, using a 3D stereograph method to build n 3D stereoscopic images, adjusting the sizes of the n visual divided storage images and the n 3D stereoscopic images and dividing the n visual divided storage images and the n 3D stereoscopic images into a plurality of basic blocks; finally random choosing the basic blocks in the corresponding positions in the visual divided storage images or the 3D stereoscopic images to build n 3D stereoscopic and visual divided storage icons, etc.

为了既能三维立体显示图标,又能在三维显示的图标中隐藏秘密图像信息,本发明公开了利用三维立体图标防伪的方法,包括获取参数,输入秘密图像和灰度图像;然后利用可视分存方法构造n幅可视分存图,利用三维立体画方法构造n幅三维立体图,调整所述n幅可视分存图和所述n幅三维立体图大小并分成多个基本块;最后随机选取可视分存图或三维立体图中相应位置处的基本块,构造n幅三维立体可视分存图标等步骤。

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