资源列表
tform
- 这是一个对图像进行几何变换的函数。可以对图像进行缩放，旋转和平移操作。-This is an image of the function of the geometric transformation. Images can be zoom, rotation and translation operations.
JPEG2000
- 该文件包含了kakadu_v2.2.3的源代码-this file have the source code of kakadu_v2.2.3
bianjielianma
- MATLAB 特征提取 边界链码（图像处理）-MATLAB boundary chain code feature extraction (image processing)
image_watermark
- 二值图像数字水印算法的一般方法，然后在此基础上给出了一种基于分块DCT的自参照直流系数盲检测二值水印方法。-A blind binary image digital watermarking algorithm is proposed in the DCT domain. The algorithm uses the correlativity of the inter-blocks DC components based on blocked DCT with binary image. No
largestRectangleArea
- 求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。-For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the par
segment
- 使用区域增长的算法进行区域分割。鼠标点击图像的某个区域的某个像素，并指定染色所用颜色（红绿蓝黑），程序执行的结果是用指定的颜色把某个区域显示出来。-Regional growth in the use of regional segmentation algorithm. A mouse click on the image of a pixel region, and specify the dye color used (black and red and green), implement
tuxiang
- 基于混沌理论的Logistic映射数字图像的加密算法，实现图像的置乱-Based on the Chaos Theory of Logistic mapping digital image encryption algorithm, the realization of image scrambling
Untitled3
- fcm医学图像分割算法，适应于不规则医学图像的分割，已经调试成功，可以运行，很好。相信会对您有帮助。-fcm medical image segmentation algorithm, adapted to irregular medical image segmentation, has been successful debugging, you can run, very good. Believe will help you.
OTSU
- 利用二维属性直方图的Otsu自动阈值分割方法 提出了二维属性直方图的概念 ,进而提出了一种基于二维属性直方图的图像自动阈值化方法 有利于写论文-Attributes the use of two-dimensional histogram of the Otsu threshold segmentation method automatically put forward the concept of two-dimensional histogram properties, and then
ReadBmpImage2
- 位图读取 平移 在固定区域去除像素 显示图像尺寸-Translational reading bitmap removal in a fixed-pixel display area image size
mbpp
- matlab 归一化相关系数，可用于模板匹配-matlab normalized correlation coefficient
laplacian
- VC++实现拉普拉斯算子对图像进行锐化，也可用于边沿检测。-VC++ to achieve Laplacian image sharpening, edge detection can also be used.