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Arithmetic Operations on Images in MATLAB 

Electro DeCODE
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In this video, we will show you the arithmetic operations like addition, subtraction, multiplication and division on Images in MATLAB.
Contents of this Video:
1. Addtion of Image with a Constant
2. Subtraction of Image with a Constant
3. Multiplication of Image with a Constant
4. Division of Image with a Constant
5. Addtion of two Images
6. Subtraction of two Images
7. Multiplication of two Images
8. Division of two Images
9. imadd function in MATLAB
10. imsubtract function in MATLAB
11. immultiply function in MATLAB
12. imdivide function in MATLAB
13. Negative of Image in MATLAB
Do watch our previous videos on Digital Image Processing in MATLAB
Finding Image Information in MATLAB
• Finding Image Informat...
How to Read, Write & Display Images in MATLAB
• How to Read, Write & D...
Binary, Grayscale and Colored Images in MATLAB
• Binary, Grayscale and ...
How to Separate Red, Green and Blue Channel from RGB Image
• How to Separate Red, G...
Conversion of Images from one format to another in MATLAB
• Conversion of Images f...
Resize an Image in MATLAB
• Resize an Image in MATLAB
If you are new to MATLAB, you must go through the following MATLAB Tutorial Playlist:
• MATLAB Tutorials
Subscribe for more content about MATLAB, AutoCAD, Digital Image Processing in MATLAB, Verilog, FPGA and C++ Programming tutorials.
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21 авг 2024

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Комментарии : 4   
@nomanmasud4807
@nomanmasud4807 3 года назад
Wow.amazing sir.mid ko corona ne cancel kreadye
@muhammadasjad8383
@muhammadasjad8383 3 года назад
Well sir!!!!!
@chudi7175
@chudi7175 3 года назад
How can we get English version of the video? We will really appreciate to have the explanation in English. Thank you for your great work.
@MrRobi10
@MrRobi10 3 года назад
Hello, if I have an image with 11x11 pixels and In the center of the image is a square of 5x5 pixels. The gray level of the background is 0 and the gray level of the square is 50. How can I compute the result of the magnitude of edges given by the compass operator for this image taking into account that the image is not noisy? I have the code but I don't know how to apply the math on paper...
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