搜索资源列表
Image_Filtering
- Image Filtering RGB Spatial Wiener Direct Inverse Discrete Fourier Transform DFT Lucy Richardson Median Laplacian -Image Filtering RGB Direct Spatial Wiener Inverse Discrete Fourier Transform DFT Lucy Ri chardson Median Laplacian
fft
- 对图像进行快速傅里叶变换，在频率域去除高频信息再逆变换到空间域，完成图像栅格信息的消除。-Fast Fourier transform of the image, in the frequency domain to remove high-frequency information and the inverse transform to the spatial domain, to complete the elimination of the image grid of informati
yanyan
- 把一个256*256的图像分成8*8小块，然后进行DFT变换，分别比较在空间域和频域内对图像进行二次抽样和差值最后得出的图像比较-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfo
FourierTrainsformation
- 傅里叶变换可以讲图片转换到频域，在图像处理领域有着广泛的应用。-Fourier transformation can transfer the image from spatial domain to frequency domain, which provide more methods to deal with image.
VideoFFT
- 这个程序可以实现图像的傅里叶变换，尤其可以硬件实现，从时空域变换到频率域-This procedure can be the Fourier transform images, in particular, can be hardware, spatial transform from the frequency domain
houghimagshift
- Hough transform and Fourier shift of an image in spatial domain
1111
- 数字图象处理教程 INTRODUCTION 4 DIGITAL IMAGE DEFINITIONS 5 COMMON VALUES 6 CHARACTERISTICS OF IMAGE OPERATIONS 7 TYPES OF OPERATIONS 7 TYPES OF NEIGHBORHOODS 8 VIDEO PARAMETERS 9 TOOLS 9 CONVOLUTION 10 PROPERTIES OF CONVOLUTION 10 FOUR
Image_enhancement
- Image enhancement The aim of image enhancement is to improve the interpretability or perception of information in images for human viewers, or to provide `better input for other automated image processing techniques. Image enhancement techniques
1
- 将一幅256*256的图像分成8*8的小块，对其进行DFT变换。分别比较在空间域和频域内对源图像进行二次抽样和差值最后比较不同-1. Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. 2. Apply DFT to these sub images, and get the fourier transfor
1122zhenyan
- 这个是C制作的源代码。。。 对一幅图像进行DFT变换，分别对源图像在空间域和频域里进行二次抽样和差值，最后得出结果比较。- Get a grey level image which size is N*N. (For example, 256*256, however, N = ), and partition to 8*8 sub images. Apply DFT to these sub images, and get the fourier transformed ima
DIPDemo
- 实现了图像处理常用的基本方法，包括直方图均衡，几何变换，空域滤波，2维快速傅里叶变换，图像复原，图像压缩，边缘检测等方法。-The image processing used to achieve the basic methods, including histogram equalization, geometric transformation, spatial filtering, two-dimensional fast Fourier transform, image restora
lFusion
- 小波变换是在傅立叶变换的基础上发展起来的，它优于傅立叶分析的地方是它在空域和时域都是局部化的，其局部化格式随频率自动变换，在高频处取窄的时（空）间窗，在低频处取宽的时（空）窗，适合处理非平稳信号，在图像处理、模式识别、机器人视觉、量子力学等领域得到广泛应用。-Wavelet transform is a Fourier transform developed on the basis, it is better than Fourier analysis of the place is that
AssignmentSubmission
- The aim of the assignment is to understand the concept of the image enhancement stage We need to know the technique to improve the image or better input for the image processing technique as in the assignment. In the first part of the assignment is
guangxinxi
- 本书系统地介绍信息光学基础理论及相关的应用。全书共11 章, 内容涉及二维傅里叶分析、标量衍射理论、光学成像 系统的频率特性、部分相干理论、光学全息照相、空间滤波、相干光学处理、非相干光学处理、全息干涉度量学、散斑计量学、 云纹法与云纹干涉法等。 本书内容丰富, 选材新颖, 既系统介绍基础理论, 又同时兼顾理论和技术的当前发展, 并强调理论与应用的结合。书中 精选了100 余个例题和习题, 并给出了大部分的详细解答, 便于读者加深对正文的理解。 本书读者对象为光学、光电子技术
frequencyfilt-hpf
- FFT Filters provide precisely controlled low- and high-pass filtering (smoothing and sharpening, respectively) using a Butterworth characteristic. The image is converted into spatial frequencies using a Fast Fourier Transform, the appropriate filter
gesture-recognition
- 出并设计了基于计算机视觉的手势识别系统。采用双肤色模型和背景自适应模型进行手势分割，解决纷乱背景 下实时手势分割问题。以傅里叶描述于表缸E手势轮廓，基于BP网络建立的手势识别分类器，具有较强的自学习能力，提高了 识别率。-A hand gesture recogll主ti。n system which based on∞mputer vision is Prescn}ed in thi3 pape。A method of combinirlg double c010r-spatial
Fastdiscretecurvelettransforms
- This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform [12, 10] in two and three dimensions. The first digital transformation is based on unequally-spaced fast Fourier tr
The-Fourier-transform-of-the-image
- 应用傅立叶变换进行图像处理 傅立叶（Fourier）变换的定义 空域滤波与频域滤波-The application of Fourier transform in image processing The definition of Fourier (Fourier transform Spatial filtering and frequency domain filtering
fourier
- Fourier transform is used to decompose an image into its sine and cosine components. The output of the transformation represents the image in the frequency domain while the input image is the spatial domain equivalent
Fourier Optics
- 傅里叶光学。 光学衍射 透镜 理论和实验(A complete descr iption of the imaging system, however, requires the wave properties of light and associated processes like diffraction to be included. It is these processes that determine the resolution of optical devices, t