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brenner
对于离焦图像进行自动对焦的图像判定，通过对一些列的图像，从离焦到对焦再到离焦进行图像分析从而获得对焦图像的图片。(For the defocus image autofocus image determination, through a series of images into focus and then from defocus defocused image analysis to obtain a focused image of the picture.)
- 2013-07-19 20:10:33下载
- 积分：1
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color-image-seg
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。彩色图像分割是彩色图像处理的重要问题, 彩色图像分割可以看成是灰度图像分割技术在各种颜色空间上的应用, 为了使该领域的研究人员对当前各种彩色图像分割方法有较全面的了解, 因此对各种彩色图像分割方法进行了系统论述, 即先对各种颜色空间进行简单介绍, 然后对直方图阈值法、特征空间聚类、基于区域的方法、边缘检测、模糊方法、神经元网络、基于物理模型方法等主要的彩色图像分割技术进行综述, 并比较了它们的优缺点, 通过比较发现模糊技术由于能很好地表达和处理不确定性问题, 因此在彩色图像分割领域会有更广阔的应用前景。(colorful image segment)
- 2011-07-08 08:09:16下载
- 积分：1
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subject
说明： 计算图像对应的各阶原点矩，中心矩，以及Hu不变量,输入是图像和矩的阶数。(Image raw，Central，and Hu s moments computation)
- 2020-11-19 10:19:37下载
- 积分：1
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DNA
说明： 通过Logistic映射与Chen超混沌系统产生随机序列的DNA分块编解码图像加密技术(Image encryption technology of DNA block encoding and decoding by using logistic map and Chen hyperchaos system to generate random sequences)
- 2021-04-21 22:08:49下载
- 积分：1
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hog
能够提取出图像I的HOG特征，返回其幅值，角度和在各个角度上的幅值。
是进行其他针对图像的HOG特征提取的前一步。(I can extract images of HOG features, return to their amplitude, angle and perspective in all of the amplitude. Is the other for image feature extraction HOG step forward.)
- 2008-04-29 09:41:09下载
- 积分：1
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kmeans
说明： 图像分割，还可以，kmeans聚类的方法。k-means算法是一种聚类算法，所谓聚类，即根据相似性原则，将具有较高相似度的数据对象划分至同一类簇，将具有较高相异度的数据对象划分至不同类簇。(K-means algorithm is a clustering algorithm. The so-called clustering is to divide data objects with high similarity into the same class cluster and data objects with high dissimilarity into different class clusters according to the similarity principle.)
- 2019-05-05 21:14:18下载
- 积分：1
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Data Acquisition
下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。
表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions.
Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)
- 2017-10-09 16:29:16下载
- 积分：1
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zhixin
根据图像色彩信息，寻找图像的质心，以便对目标的跟踪(The image color information, look for the image of the center of mass to the target track)
- 2015-07-20 15:07:49下载
- 积分：1
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markEmbed
说明： 产生水印，并进行基于DCT域的水印嵌入。(Have a watermark and DCT-based watermark embedding domain.)
- 2009-08-12 11:02:17下载
- 积分：1
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2014
《A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE》基于retinex的水下图像复原算法，非常有效(" A RETINEX-BASED ENHANCING APPROACH FOR SINGLE UNDERWATER IMAGE" underwater retinex based image restoration algorithm is very effective)
- 2020-10-12 14:57:32下载
- 积分：1
