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MATLAB模拟的电磁学时域有限差分法
- 简要介绍了基于matlab实现fdtd仿真的语法基础(MATLAB programming is simple, and can give the characteristics of fine image, it has become the necessary system tool platform for science and engineering students.Its complete toolbox function makes MATLAB more and more po
作业4
- 理解图像空间滤波的实现步骤，掌握平滑、锐化两类空间滤波的区别，了解线性与非线性滤波差别(Understand the realization steps of image spatial filtering, grasp the difference between smoothing and sharpening two types of spatial filtering, and understand the difference between linear and non-linear
Infrared-small-target-detection
- 红外小目标检测matlab程序 （转载）基于《Infrared Small-Target Detection Using Multiscale Gray Difference Weighted Image》编写的红外小目标检测(Matlab program for infrared small target detection)
ZEMAX中近轴像高和真实像高的区别是什么？
- zemax学习资料， ZEMAX中近轴像高和真实像高的区别是什么？(What is the difference between the high and the true image of the near axis in zemax?)
sad_motion _track_detect
- 基于帧差法与图像块匹配方法的运动目标检测与跟踪，可以实际操作，性能还不错的(The moving target detection and tracking based on the frame difference method and the image block matching method can be actually operated, and the performance is good.)
图像的熵
- 图像的熵，图像的一阶矩，图像的二阶矩，图像的差熵(The entropy of the image, the first moment of the image, the two moment of the image and the difference entropy of the image)
edges-master
- 边缘检测算子 图像边缘信息主要集中在高频段，通常说图像锐化或检测边缘，实质就是高频滤波。我们知道微分运算是求信号的变化率，具有加强高频分量的作用。在空域运算中来说，对图像的锐化就是计算微分。由于数字图像的离散信号，微分运算就变成计算差分或梯度。图像处理中有多种边缘检测（梯度）算子，常用的包括普通一阶差分，Robert算子（交叉差分），Sobel算子等等，是基于寻找梯度强度。拉普拉斯算子（二阶差分）是基于过零点检测。通过计算梯度，设置阀值，得到边缘图像。(The image edge infor
SegmentationBenchmark
- 我们提供实现四个标准图像分割索引的源代码，比较同一组图像的两个分割结果之间的差异。 特别是，我们有兴趣比较算法和人体对象之间的分割结果。(We provide the source codes that implement four standard image segmentation indices that compare the difference between two segmentation results of the same set of images. Particula
测量高度差
- 测量两图像间的高度差，通过提取图像边缘，测量两图像间高度差(he height difference between the two images is measured, and the height difference between the two images is measured by extracting the edge of the image.)
自适应阈值
- 最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。因此,使类间方差最大的分割意味着错分概率最小。(The largest between-class variance method was proposed by the Japanese
基于最大类间方差阈值与遗传算法的道路分割
- 最大类间方差法是由日本学者大津(Nobuyuki Otsu)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。它是按图像的灰度特性,将图像分成背景和目标2部分。背景和目标之间的类间方差越大,说明构成图像的2部分的差别越大,当部分目标错分为背景或部分背景错分为目标都会导致2部分差别变小。(The largest between-class variance method was proposed by the Japanese scholar Nobuyuki Otsu
XZX
- 全局低秩显著性检测算法首先根据自然图像前景目标和背景亮度、颜色的差异性重构出图像前景显著目标；然后利用低秩分解对图像中的非显著性区域进行抑制。(The global low-rank saliency detection algorithm first reconstructs the image foreground salient targets based on the difference between the natural image foreground target and t
feiniao
- 根据已有数据，应用三次差值的方法求飞鸟背部图像。(use three difference value looking for a bird's back image)
05567108.pdf
- The sky region of restored images often appears serious noise and color distortion using classical dark channel prior algorithm. To address this is- sue, we propose an improved dark channel prior algorithm which recognizes the sky regions in hazy ima
卡尔曼滤波
- 1、运动目标进行检测与跟踪，背景差分法，卡尔曼滤波，检测结果用红色外接矩形框表示，跟踪结果用绿色矩形框表示 2、采用平均背景法更新背景图像； 3、代码部分附详细解释(1. The moving target in the video sequence is detected and tracked, the moving target detection part uses the background difference method, the tracking part uses Calm
Harris
- 基于离散分数布朗随机场模型的水下图像目标检测方法。该方法根据分形理论和水下图像的特点，以图像中每 个像素点为中心取窗口，计算在该窗口内的分形维数均值，将该均值作为中心像素的分形特征，然后根据分形维 数分布图确定分割阈值，从而实现对水下图像分割，并且通过将目标表面不同尺度下的灰度差分平均值进行归一 化处理，减少了用于表示不同尺度下的平均绝对值灰度差分的数据，从而提高算法检测效率(Underwater target detection method based on discrete frac
NDVI
- 利用python开发语言实现landsat5遥感影像的NDVI归一化植被指数的计算(Using Python development language to realize NDVI normalized difference vegetation index calculation of landsat5 remote sensing image)
INSAR
- 合成孔径雷达干涉测量技术（INSAR，Interferometric Synthetic Aperture Radar；简称：干涉雷达测量）是以同一地区的两张SAR图像为基本处理数据，通过求取两幅SAR图像的相位差，获取干涉图像，然后经相位解缠，从干涉条纹中获取地形高程数据的空间对地观测新技术。(INSAR (Interferometric Synthetic Aperture Radar) is a new technology of space-to-Earth observation, i
shallow_water_2d
- 利用数值计算 求解浅水方程，利用了Lax-wendroff有限差分，并附有输出图像展示(The shallow water equation is solved by numerical calculation, and the Lax-Wendroff finite difference method is used with output image display.)
[Experimental_Code_Data]_Deep-Photo-Enhancer
- 一般的图像增强方法根据增强处理过程所在的空间不同，可分为基于空域和频域的方法。基于空域的方法直接对图像进行处理；基于频域的方法是在图像的某种变换域内对图像的变换系数进行修正，然后再反变换到原来的空域，得到增强的图像。(Generally, image enhancement methods can be divided into spatial and frequency domain methods according to the spatial difference of the enha