资源列表
829792
- 829792文字识别,一款不错的软体，可以识别文字-HAPPY DAY
histogram-drawing(choose-interval)-
- 数字图像处理,直接画出图像的频率直方图,也可以选择感兴趣的灰度区间画图.相比于opencv库函数,效率更高.-Digital image processing, image frequency histogram plot directly, you can also choose the gray zone of interest drawing. Compared to the opencv library functions more efficient.
image-filter-by-myself
- 自制图像滤波器,大家可以参考,并适当改变滤波器设置,使得更满足于自己的需要.-Self-image filter, we can refer to, and appropriately change the filter settings, making it more satisfied with their own needs.
sobel_prewitt_Laplace_edge-detection
- 利用的是sobel算子，prewitt算子以及laplace算子进行的边缘的提取操作。 每种算子用一个函数。最后的main函数调用各个函数完成边缘提取。 -Use the sobel operator, prewitt operator and laplace operator for edge extraction operation. Each operator with a function. The last main function call to complete each
openglcode
- 里面有一个学习opengl的小列子，双击exe可以执行看到效果，适合初学者学习-There is a small learning opengl Liezi, double-exe can be performed to see the effect, suitable for beginners to learn
SRADPVS2010
- VS2010+OPENCV实现了SRAD算法，对图像进行平滑去噪，能有效抑制噪声并增强图像中的目标边缘。-VS2010+OPENCV realized SRAD algorithm for image denoising smoothing, can effectively suppress noise and enhance the image of the target edge.
RadarTest
- VC++6.0编写，实现了雷达界面的显示，SOCKET 接收UDP数据包并解析，也可以打开本地雷达数据文件并查看回波图像。-VC++6.0 and realized the radar screen of the display, SOCKET receive UDP packets and parsing, you can open the data file and view the local radar echo images.
SRADPVS60
- vc6.0实现SRAD算法，即各向异性去斑噪算法，实现对图像的平滑去噪。在去除噪声的同时保持并增强了图像中目标的边缘。-vc6.0 realize SRAD algorithm, namely anisotropic speckle noise algorithm, to achieve image denoising smoothing. Remove the noise, while maintaining and enhancing the edge of the target image
Image-enhancement
- 理解和掌握图像的线性变换和直方图均衡化的原理及应用。 了解平滑处理的算法和用途，学习使用均值滤波、中值滤波和拉普拉斯锐化进行图像增强处理的程序设计方法。 了解噪声模型及对图像添加噪声的基本方法。 -Understand and master image of linear transformation and histogram equalization principle and application. Smoothing algorithms to understand and
SRAD-denoising
- 能够实现对SAR图像和其他类型的包含大量噪声的图像进行平滑去噪，在去除噪声的同时还能保持并增强边缘，适用于目标提取。-SAR images can be achieved and other types of containing large amount of noise in the image smoothing denoising, remove the noise while maintaining and enhancing the edge, suitable for object
Image-segmentation
- 图像分割和分析实验其中掌握图像分割的原理和实现方法和掌握二值化图像的开运算和闭运算。 -Image segmentation and analysis of experiments in which master image segmentation principle and method and master binary image opening operation and closing operation.
Teigha_NET_3_03
- Teigha_NET读取CAD的DWG文件。-Teigha_NET read CAD DWG files.