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: 染色体配对程序,先通过分割算法分割出单个染色体,在利用染色体的面积、周长、骨架来进行配对。-Chromosome pairing procedure, the first segmentation algorithm segmented by a single chromosome, chromosome in the use of the area, perimeter, skeleton matching. Platform: |
Size: 230400 |
Author:shuzhenqiu |
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Description: 这是一个基于openGl制作的一个手势识别程序(This is a 3D hand model developed mainly for vision-based hand motion analysis. The hand model is modeled as a set of rigid quadratic surfaces, and has 27 degrees-of-freedom (DoFs) including 6 DoFs of global motion and 21 DoFs of local motion. The hand skeleton is modeled as a kinematic chain of 20 joints connected by bones in a tree structure with the root at the wrist. In this program you can view the model from different positions and perspectives, and manipulate each DoF separately. More importantly, to assist research in this area, we also provide functions to generate the depth image, silhouette image and edge images, which can be easily used for model-based matching between the input and the 3D hand model.) Platform: |
Size: 71599104 |
Author:HUST——lxl
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Description: A character recognition matlab procedures, including refining, skeleton extraction, shape matching, and other functions, Platform: |
Size: 117760 |
Author:csmpile
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Description: —Fingerprint matching systems generally use four types of representation schemes: grayscale image, phase image, skeleton image, and minutiae, among which minutiae-based representation is the most widely adopted one. The compactness of minutiae representation has created an impression that the minutiae template does not contain sufficient information to allow the reconstruction of the original grayscale fingerprint image. This belief has now been shown to be false; several algorithms have been proposed that can reconstruct fingerprint images from minutiae templates. Platform: |
Size: 4903 |
Author:uud123 |
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