资源列表
tuxiangfenxi
- 通过matlab程序的编写,经过分析图像轮廓和图像边界来实现图像灰度调整和柱状图。-By writing matlab program, after analyzing the image contours and boundaries of image grayscale image adjustments and histograms.
appl3_2
- 频域滤波,然后对滤波后的信号进行傅里叶逆变换,得到时域信号并画图!-Frequency domain filtering, and then the signal after the inverse Fourier transform, the time-domain signal and draw!
bmptoc
- 将 24 位的bmp文件转换为c语言数组-24-bit bmp files into the c language array
Brem
- Brem算法的实现和解释,计算机图形学实验-Brem algorithm implementation and interpretation, computer graphics experiment
hough111
- hough变换检测线段的程序 端点和线段都已经用不同颜色标识出来-hough transform
pudn3
- 一. 图像复原 1). 针对图像水平运动所引起的图像退化,给出连续函数退化模型的系统传递函数H(u,v) 2). 编程用维纳滤波实现对运动模糊图像的复原。 二. 图像复原 1). 针对图像水平平移a后与原图像叠加形成的重影图像所引起的图像退化,给出连续函数退化模型的系统传递函数H(u,v) 2). 编程用维纳滤波实现对一个重影图像的复原。-One. Image Restoration 1). For horizontal movement of the image
masaike
- 马赛克效果代码 马赛克显示是指图像被分成许多的小块,它们以随机的次序显示出来,直到图像显示完毕。实现马赛克的效果主要解决的问题是如何定义显示随 机序列的小方块,这个问题的解决可以在定义过小方块的基础上,用一个数组来记录各个方块的左上角的坐标的位置-Code mosaic mosaic image display is divided into many small pieces, they are displayed in random order, until the image di
compute_inverse_field.m
- optiv flow but for inverse movement. Allows to determine the source
tuxiangbianhuan
- matlab实现图像反变换 以及分段式灰度级变换-matlab Image inverse transform and segmented gray-scale transformation
edge
- 利用OpenCV进行边缘检测,实验中用的是Canny算子性能,低误差率、高定位精度和抑制虚假边缘。-OpenCV for edge detection, the experiments using the Canny operator performance, low error rates, high positioning accuracy and suppress false edges.
111111
- 任意阶的矩阵哈达玛变换,输入矩阵阶数和待变换矩阵,输出变换后的矩阵-Matrix of arbitrary order Hadamard transform, the number of the order of the input matrix, and upon the transformation matrix, the output transform matrix
image-xianzhun
- 实现图像的逆时针旋转任意角度。关键部分:通过p=inputdlg(prompt, input ,1,defans) p1=str2num(p{1}) 来输入旋转参数。 通过函数f=imrotate(handles.img,p1, bilinear , crop ) 实现翻转。 -Counterclockwise rotation of the image at any angle. Key part of the input rotation parameters: p = inputd