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Manipulating images with Matlab
Monochrome images in Matlabare represented by and NxMmatrix
‐N is the height of the image, M is the width
Load an image into variable “J”:  J=imread(‘spine.tif’);
Let’s get some information about the image: whosJ
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Manipulating images with Matlab
Monochrome images in Matlabare represented by and NxMmatrix
‐N is the height of the image, M is the width
Load an image into variable “J”:  J=imread(‘spine.tif’);
Let’s get some information about the image: whosJ
‐Raw data is typically uintbut images should be doubles between 0 and 1
use function mat2grayto convert the image.
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Manipulating images with Matlab
Monochrome images in Matlabare represented by and NxMmatrix
‐N is the height of the image, M is the width
Load an image into variable “J”:  J=imread(‘spine.tif’);
Let’s get some information about the image: whosJ
‐Raw data is typically uintbut images should be doubles between 0 and 1
use function mat2grayto convert the image.
To view the image use: imtool(J) (alternatively, imshow(J))
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VB.NET Image: VB.NET Codes to Load Images from File / Stream in .
When evaluating this VB.NET imaging library with pictures of your own We are dedicated to provide powerful & profession imaging controls, PDF document, image to
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Manipulating images with Matlab
Monochrome images in Matlabare represented by and NxMmatrix
‐N is the height of the image, M is the width
Load an image into variable “J”:  J=imread(‘spine.tif’);
Let’s get some information about the image: whosJ
‐Raw data is typically uintbut images should be doubles between 0 and 1
use function mat2grayto convert the image.
To view the image use: imtool(J) (alternatively, imshow(J))
‐Try manually set contrast: imtool(J,[lower, upper])
‐Pixels ≤ lowerare black; Pixels ≥ upperare white
‐automatically set lower to the minimum pixel
and upperto the maximum imtool(J,[ ])
‐You can also adjust the gamma and pixel mapping
with imadjust( J, [],[], gamma);
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VB.NET Image: Sharpen Images with DocImage SDK for .NET
VB.NET Coding. When you have made certain corrections in your VB.NET project photo or image files, you might want to sharpen your pictures before saving them
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Filtering images in Matlab
A spatial filter requires a filter mask. Example an averaging filter:
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VB.NET Image: Codings for Image Filter Processing with .NET Image
RasterEdge .NET Image SDK provides many different and interesting filters for your pictures / photos with simple and a few Visual Basic .NET programming codings
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Filtering images in Matlab
A spatial filter requires a filter mask. Example an averaging filter:
Each pixel in the resulting image has a value equal to the sum of the pixel values of the 
original image x filter mask when the mask is centered on that pixel: imfilter
q=Original Image
Filter mask
filt=ones(3,3);
filt=filt*1/9;
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Filtering images in Matlab
A spatial filter requires a filter mask. Example an averaging filter:
Each pixel in the resulting image has a value equal to the sum of the pixel values of the 
original image x filter mask when the mask is centered on that pixel: imfilter
Try applying a Gaussian filter to your image (hint: Gaussians are readily made using fspecial)
q=Original Image
Filter mask
filt=ones(3,3);
filt=filt*1/9;
imfilt(q,filt)
Filtering images in Matlab
A spatial filter requires a filter mask. Example an averaging filter:
Each pixel in the resulting image has a value equal to the sum of the pixel values of the 
original image x filter mask when the mask is centered on that pixel: imfilter
Try applying a Gaussian filter to your image (hint: Gaussians are readily made using fspecial)
q=Original Image
Filter mask
filt=ones(3,3);
filt=filt*1/9;
imfilt(q,filt)
J_gaus=imfilt(J,fspecial(‘gaussian’,11,3));
Another example – morphological operations
Read the stock image “rice.png”: rice=mat2gray(imread(‘rice.png’));
View the image, notice the background is not even: imtool(rice,[]);
We will “open” this image, using the function imopen, to remove
the small features and get a look at the background.
‐imopenis a morphological erosion followed by a dilation
‐imcloseis the reverse
As an example, load the image “sticksandballs.tif”
‐We can use the imopenfeature to remove the sticks  
‐Try opening this image and removing the sticks with a disc 
shaped structural element (strel)
Another example – morphological operations
Read the stock image “rice.png”: rice=mat2gray(imread(‘rice.png’));
View the image, notice the background is not even: imtool(rice,[]);
We will “open” this image, using the function imopen, to remove
the small features and get a look at the background.
‐imopenis a morphological erosion followed by a dilation
‐imcloseis the reverse
As an example, load the image “sticksandballs.tif”
‐We can use the imopenfeature to remove the sticks  
‐Try opening this image and removing the sticks with a disc 
shaped structural element (strel) 
sb_open=imopen(sb,strel(‘disk’,5));
Now let’s return to our unevenly illuminated rice:
‐open the image such that only the background remains
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