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Description: 高级图像显示，利用Matlab原程实现，运用面广，可以显著提高图像的质量-High image shows that the use of Matlab realize the original way, using a wide range, can significantly improve image quality
Platform: |
Size: 1024 |
Author: 周峰 |
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Description: awimg=rgb2gray(im1)
tic
[accum, circen, cirrad] = CircularHough_Grd(rawimg, [20 30],5,50)
circen
toc
figure(1) imagesc(accum) axis image
title( Accumulation Array from Circular Hough Transform )
figure(2) imagesc(rawimg) colormap( gray ) axis image
hold on
plot(circen(:,1), circen(:,2), r+ )
for k = 1 : size(circen, 1),
DrawCircle(circen(k,1), circen(k,2), cirrad(k), 32, b- )
end
hold off
title([ Raw Image with Circles Detected , ...
(center positions and radii marked) ])
figure(3) surf(accum, EdgeColor , none ) a
Platform: |
Size: 14336 |
Author: money |
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Description: SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow.
This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be - correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable - useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.-SC is a useful function for displaying rich image data, of use to anyone wishing to visualize and save 2D data in ways beyond that which MATLAB built-in functions allow.
This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.
Platform: |
Size: 13312 |
Author: mitko |
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Description: détection d objet
paramètrage
thresh = 500 Harris corner threshold
nonmaxrad = 3 Non-maximal suppression radius
dmax = 100
w = 11 Window size for correlation matching
Extraire les points de Harris sur chaque image
[cim] = harris( image2,1)
imagesc(cim)
[cim1] = harris(image1,1)
imagesc(cim1)
[r1,c1,v1] = find(image1)
[cim2] = harris(image2, 1)
imagesc(cim2)
[r2,c2,v2] = find(image2)
Apparier les points
[m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax)
Estimer la transformation dominante
-détection d objet
paramètrage
thresh = 500 Harris corner threshold
nonmaxrad = 3 Non-maximal suppression radius
dmax = 100
w = 11 Window size for correlation matching
Extraire les points de Harris sur chaque image
[cim] = harris( image2,1)
imagesc(cim)
[cim1] = harris(image1,1)
imagesc(cim1)
[r1,c1,v1] = find(image1)
[cim2] = harris(image2, 1)
imagesc(cim2)
[r2,c2,v2] = find(image2)
Apparier les points
[m1,m2] = matchbycorrelation(image1, [r1 c1 ], image2, [r2 c2 ], w, dmax)
Estimer la transformation dominante
Platform: |
Size: 1117184 |
Author: seb831 |
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Description: 用于图像的显示，image函数和imagesc函数-For image display, image functions and imagesc function
Platform: |
Size: 1024 |
Author: 姚军 |
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Description: Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).-Piled images
Imagescn plot two or more imagesc into the same axes. Deeper layers are visible, were higher layers have the value NaN. This is helpful e.g. to show measurement (=foreground) results "above" a map (=background), to separate NaN values within a 2D matrix from the lowest value (standard image shows the same color at NaN as it does for the lowest value). The number of layers is only limited by memory space :-).
Platform: |
Size: 6144 |
Author: 陈浩 |
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Description: Useful tool for rendering and outputting information rich images-This function can be used in place of IMAGE, IMAGESC and IMSHOW, but does so much more. It is fast and displays images as they should be- correct aspect ratio, integer magnification, no axes. In addition, it can return the image as an output variable- useful for saving to disk, texture mapping surfaces, and post-rendering manipulation such as overlaying/combining two or more images.
All the MATLAB built-in colormaps are implemented, but without MATLAB s nasty discretization artifacts. Plus, there are many new colormaps which are helpful for viewing more complex data, such as optic flow, likelihoods over images, difference images, segmentations, stereo image pairs (as anaglyphs) and edge-maps with orientation. It also accepts user defined linear and non-linear colormaps.
Platform: |
Size: 41984 |
Author: 史明明 |
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Description: Hilbert变换只是单纯地求信号的瞬时振幅，频率和相位，有可能出现没有意义的负频率；HHT变换先将信号进行EMD分解，得到的是各个不同尺度的分量，对每一个分量进行Hilbert变换后得到的是有实际意义的瞬时频率。
-imagesc(t,fliplr((1:size(im,1))/(2*size(im,1))),im,[inf,0])
set(gca, YDir , normal )
xlabel([ time ])
ylabel([ normalized frequency ])
title( Hilbert-Huang spectrum )
function [f,z]=fftfenxi(t,y)
L=length(t) N=2^nextpow2(L)
Platform: |
Size: 2048 |
Author: 景小兵 |
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Description: 调用matlab的imagesc对采集图片的红色光强分布-Show called matlab imagesc red pixel intensity on the collection of pictures
Platform: |
Size: 606208 |
Author: 龙豪 |
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Description: Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.-Read a file into a matrix and display it on the screen using the MATLAB commands imagesc and axis.
Platform: |
Size: 43008 |
Author: ghazal |
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Description: 一个利用地震子波合成地震记录的MATLAB程序源代码，通过一个例子说明如何合成一个四层模型的地震记录。-Create 4 Layer synthetic seismogram model
Call rickerw.m subroutine to generate ricker wavelet
Use imagesc and plotseismic.m to plot the model
Platform: |
Size: 1024 |
Author: shao |
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Description: figure imagesc(Img,[0 255]) colormap(gray) hold on
bw = roipoly
phi = 2*(0.5-bw)
tic
for n = 1:200
phi = Evo_ILF_2D(phi,mu,lambda,epsilon,timestep,Img_lap)
pause(0.05)
imagesc(Img, [0, 255]) colormap(gray) hold on
[c,h] = contour(phi,[0 0], b )
iterNum=[num2str(n), iterations ]
title(iterNum)
hold off -figure imagesc(Img,[0 255]) colormap(gray) hold on
bw = roipoly
phi = 2*(0.5-bw)
tic
for n = 1:200
phi = Evo_ILF_2D(phi,mu,lambda,epsilon,timestep,Img_lap)
pause(0.05)
imagesc(Img, [0, 255]) colormap(gray) hold on
[c,h] = contour(phi,[0 0], b )
iterNum=[num2str(n), iterations ]
title(iterNum)
hold off
Platform: |
Size: 4759552 |
Author: ramgopal |
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Description: 用matlab的imagesc函数模拟液体表面分子蒸发的过程，并且程序整体按字母分为a到q一共17个部分，依次解释了程序的生成过程-matlab imagesc
Platform: |
Size: 1024 |
Author: Bingo |
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Description: 用于计算声音信号的短时傅立叶变换，默认情况下窗口重叠了50％，计算STFT三个窗口中的矩形并转化为声音信号。-To compute STFT three windows are available in this code Rectangular, Hamming and Hanning. By default window overlapping is set by 50 . One can easily compute the STFT of sound signals.Results are shown by imagesc & surf function in single window.
Platform: |
Size: 2048 |
Author: wang |
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Description: Matlab画的线较多时，线的颜色的选取对图的美观是有很大的影响的。
Jonathan C. Lansey
提供了在不同线上画不同颜色简单易用的函数。-Examples demonstrating the colors.
LINE COLORS
N 6
X linspace(0,pi*3,1000)
Y bsxfun(@(x,n)sin(x+2*n*pi/N), X. , 1:N)
C linspecer(N)
axes( NextPlot , replacechildren , ColorOrder ,C)
plot(X,Y, linewidth ,5)
ylim([-1.1 1.1])
SIMPLER LINE COLOR EXAMPLE
N 6 X linspace(0,pi*3,1000)
C linspecer(N)
hold off
for ii 1:N
Y sin(X+2*ii*pi/N)
plot(X,Y, color ,C(ii,:), linewidth ,3)
hold on
end
COLORMAP EXAMPLE
A rand(15)
figure imagesc(A) default colormap
figure imagesc(A) colormap(linspecer) linspecer colormap
注：C即为生成的RGB颜色（非常好用）
Platform: |
Size: 4096 |
Author: g |
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