搜索资源列表
l-m_based
- 基于相位相关和L-M的图像拼接算法，感兴趣的可以参考一下。-Phase correlation and the LM-based image mosaic algorithm
medicaliamgessegment
- 医学图像分割的相关知识介绍，感兴趣的同学可以-Knowledge of medical image segmentation introduced interested students can see
IEEE_IP00_Salembier_Garrido
- 二叉划分树在图像处理中的应用,对相关感兴趣区域的提取，达到人们的要求。-Binary partition tree in image processing, extraction of the relevant region of interest, to achieve the requirements of the people.
thermometer
- 可以实现对液注温度计图片的识别，用到了连通域，Hough 变换二值化 和图像感兴趣区域部分-You can achieve the recognition of liquid injection thermometer picture, use a connected domain, Hough transform and interest portion of the binary image area
TUXIANGJIANQIE
- 主要介绍几种图像剪切方法，感兴趣的朋友可以参考。-It introduces several image cropping methods, and interested friends can reference.
Kalman-Filter(CPP_C_MATLAB)
- 卡尔曼滤波器简介 近来发现有些问题很多人都很感兴趣。所以在这里希望能尽自己能力跟大家讨论一些力所能及的算法。现在先讨论一下卡尔曼滤波器，如果时间和能力允许，我还希望能够写写其他的算法，例如遗传算法，傅立叶变换，数字滤波，神经网络，图像处理等等。 -Kalman Filter Introduction Recently I found that some of the problems a lot of people are very inter
rotate
- 根据txt中记录的角度旋转图像并用黑色像素补齐，再对txt中的斜矩形框的四个角进行坐标转换，裁剪出感兴趣区域-Rotate image and filled with black pixels according to txt recorded angle, and then the txt in the four corners of the rectangle oblique coordinate transformation, clipping region of interest
cal_class
- 利用最大似然法，通过感兴趣区域对遥感图像进行分类-Using the maximum likelihood method, by region of interest on remote sensing image classification
hbsvd-create
- VB中使用虚拟仪器CVI软件中的控件,在VB中实现画你感兴趣的地方的图像,(VB controls within the CVI using virtual instrument software, in VB realize the painting you are interested in images of the place,)
senthetic
- VB中使用虚拟仪器CVI软件中的控件,在VB中实现画你感兴趣的地方的图像,(VB controls within the CVI using virtual instrument software, in VB realize the painting you are interested in images of the place,)
JSONView-for-Chrome-master
- jsonview 图像二值化就是将图像上的像素点的灰度值设置为0或255，也就是将整个图像呈现出明显的黑白效果。 将256个亮度等级的灰度图像通过适当的阈值选取而获得仍然可以反映图像整体和局部特征的二值化图像。 图像的二值化有利于图像的进一步处理，使图像变得简单，而且数据量减小，能凸显出感兴趣的目标的轮廓。(jsonview The two value of the image is to set the gray value of the pixel on the image