Description: 图像分析课程实验报告，delphi实现。
1． 图像显示
能显示图像，显示图像的基本信息，如：直方图、熵。
2． 图像变换
a) 平移
b) 缩放
c) 旋转
d) FFT变换
e) 小波变换
3． 图像增强
a) 直方图增强
b) 小波增强
4． 图像分割
a) 梯度分割
b) Canny算子
5． 图像滤波
a) 低通滤波
b) 中值滤波
c) 高通滤波
d) 带阻滤波
6． 数学形态学
a) 腐蚀
b) 扩张
c) 开运算
d) 闭运算
e) 骨架
7． 模式识别
a) 特征匹配
-Experiment report image analysis program, delphi realize. 1. Image display can show images, display images of the basic information, such as: histograms, entropy. 2. Image Transform a) Translation b) zoom c) rotation d) FFT transform e) Wavelet Transform 3. Image enhancement a) Histogram enhance b) wavelet enhanced 4. Image segmentation a) gradient partition b) Canny operator 5. Image Filtering a) low-pass filter b) median filter c) high-pass filtering d) band-stop filter 6. Mathematical morphology a) corrosion b) expansion c) open computing d) closing operation e) skeleton 7. Pattern Recognition a) Feature Matching Platform: |
Size: 285696 |
Author:齐欢乐 |
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Description: 各种基本图像处理功能：1、格式转换：将RAW格式转换成BMP格式；2、线性变换；3、图像平滑；4、图像增强；5、边缘检测：梯度算子，Robert梯度算子，Prewitt算子，Laplacian算子，Sobel算子，Marr算子；6、直方图显示；7、形态运算（二值化、腐蚀、膨胀、开运算、闭运算）；8、自动分类及类别提取：K均值分类。其中：1.2.3.4.5.7仅能对灰度图处理，6.8不仅能处理灰度图还能处理彩色图-Basic image processing functions: 1, format: RAW format will be converted to BMP format 2, linear transformation 3, image smoothing 4, image enhancement 5, Edge Detection: Gradient Operator, Robert gradient operator, Prewitt operator, Laplacian operator, Sobel operator, Marr operator 6, histogram display 7, computing forms (two-value, corrosion, swelling, open computing, closing operation) 8, automatic classification and type of extract: K-means classification. One of: 1.2.3.4.5.7 only treatment for grayscale, 6.8 can not only deal with deal with grayscale color map Platform: |
Size: 3769344 |
Author:叶心怡 |
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Description: 作业一
要求
用C语言或者VC，VB，Matlab或其他语言完成如下实验：
1）打开一个BMP文件
2）将其局部区域的灰度值进行改变
3）另存为一个新的BMP文件
要求显示出原BMP图像和新BMP图像。
作业二
要求
1. 编程实现图像傅立叶高通、低通滤波。
2. 尝试傅立叶压缩。
作业三
要求
编程实现图像DCT高通、低通滤波。并与傅里叶变换比较。
作业四
要求
找一幅曝光不足的灰度（或彩色）图像，按照直方图均衡化方法进行处理。
作业五（一）
要求
打开一幅图像，添加椒盐、高斯噪声，然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑。
作业五（二）
要求
打开一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。
-Operating a
Requirements
C or VC, VB, Matlab or any other language, complete the following experiment:
1) Open a BMP file
2) the gray value of its local area change
3) Save as a new BMP file
Requirement that the original BMP images and BMP images.
Task 2
Requirements
A programming image Fourier high-pass, low pass filtering.
Try Fourier compression.
Assignment 3
Requirements
Programming to achieve high-pass, low pass filtering, image DCT. And compared with the Fourier transform.
Fourth Assignment
Requirements
Looking for an exposure less than the gray (or color) image to be processed in accordance with the histogram equalization method.
Assignment 5 (a)
Requirements
Open an image, add salt and pepper, Gaussian noise, and then use the neighborhood average, median filter, K, close to the average method of smoothing.
Assignment 5 (b)
Requirements
Open an image, use the gradient method of Roberts, Sobel operator and Laplacian sharpening, and compare the results. Platform: |
Size: 4187136 |
Author:李海宁 |
Hits:
Description: 1、能对图像文件（bmp、 jpg、 tiff、 gif等）进行打开、保存、另存、打印、退出等功能操作；
2、数字图像的统计信息功能：包括直方图的统计及绘制、区域图的面积、周长的统计、线条图中的距离测量等；
3、数字图像的增强处理功能：
（1）空域中的点运算、直方图的均衡化、各种空间域平滑算法（如局部平滑滤波法、中值滤波等）、锐化算法（如梯度锐化法、高通滤波等）
（2）频域的各种增强方法：频域平滑、频域锐化、低通滤波、同态滤波等。
（3）色彩增强：伪彩色增强、真彩色增强等
4、图像分割：
（1）点、线（hough变换检测直线）、及边缘检测（梯度算子、拉普拉斯算子等）；
（2）区域分割包括阈值分割、区域生长、分裂合并等；
5、数字图像的变换：普通傅立叶变换(ft)与逆变换（ift）、快速傅立叶变换（fft）与逆变换(ifft)、离散余弦变换（DCT），小波变换等。-1, capable of image files (bmp, jpg, tiff, gif, etc.) open, save, save, print and exit functions such operations
2, the digital image statistics features include: histogram statistics and drawing, area of area, perimeter statistics, line graphs of the distance measurement
3, digital image enhancement processing functions:
(1) airspace point operations, histogram equalization, a variety of space-domain smoothing algorithm (such as local smoothing, median filtering, etc.), a sharpening algorithm (such as sharpening gradient method, high-pass filtering, etc.)
A variety of enhancement methods (2) the frequency domain: smooth frequency domain, frequency domain sharpening, low pass filter, homomorphic filtering.
(3) Color Enhancement: pseudo-color enhancement, true color enhancement, etc.
4, image segmentation:
(1) point line (hough transform to detect straight line), and edge detection (gradient operator, Laplace operator, etc.)
(2) dividing the region include thres Platform: |
Size: 169984 |
Author:马振磊 |
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Search - Histogram of Gradient open