Image processing using MATLAB has been very often used activity used for computation and data analysis. This article describes how image processing is done using OpenCV library, article also is about basic image processing operations using MATLAB, which is widely used by students and engineers in this field. MATLAB is a high performance language for technical computing. It is used for Maths calculations/ computation, data analysis, algorithm development, modelling stimulation and prototyping. Edge detection, noise modelling, and image histogram modelling basic tools in image processing feature of MATLAB.
Edge Detection: An image is the mapping of intensity of light. We can detect these edges using MATLAB commands. There are many methods for edge detection such as Robert’s operator, Sobel operator, Canny edge detector and so on.
Noise: In image processing, noise in just like a digital image generated during image acquisition and also during transmission. We can use different types of noise as special effects in an image using MATLAB.
Histogram modelling: a histogram of an image provides a vast description of the image. In this program, we plot the histogram on the original image and of the histogram equalized image.
Testing: MATLAB program is run straightforward. There are 3 .m files, one each for edge detection, noise effects, and histogram. Two .JPEG image files are also included along with these .m files in the same folder. Launch MATLAB from your desktop and open an .m file and run the program. Image processing is a diverse and most useful field of science in MATLAB. This article highlights basic image processing using MATLAB. Many useful topics can be applied using MATLAB or OpenCV library such as erosion, degradation, smoothing, restoration, segmentation, dilation, point processing, line processing and edge detection of images.
MATLAB based GUI Graphical user interface for digital image watermarking
GUI (Graphical user interface) based watermarking system required a login password for authentication. In the absence of correct password no one will be able to access the program and GUI (Graphical user interface) panel.
In order to run the application you need a 32 or 64 bit operating system with MATLAB software, a cover image and a logo/watermark image. In this project, GUI (Graphical user interface) panel/program is quite user friendly.
Software
The application program has been developed in MATLAB. This will give you to access the main GUI (Graphical user interface) panel. But an incorrect password closed the GUI (Graphical user interface) panel/program. The watermark image will be generated on pressing ‘assemble/embedded watermark’ button. The similarity between cove image and watermarked image is evaluated by calculating the peak signal to noise ration and mean square error values.
Edge Detection: An image is the mapping of intensity of light. We can detect these edges using MATLAB commands. There are many methods for edge detection such as Robert’s operator, Sobel operator, Canny edge detector and so on.
Noise: In image processing, noise in just like a digital image generated during image acquisition and also during transmission. We can use different types of noise as special effects in an image using MATLAB.
Histogram modelling: a histogram of an image provides a vast description of the image. In this program, we plot the histogram on the original image and of the histogram equalized image.
Testing: MATLAB program is run straightforward. There are 3 .m files, one each for edge detection, noise effects, and histogram. Two .JPEG image files are also included along with these .m files in the same folder. Launch MATLAB from your desktop and open an .m file and run the program. Image processing is a diverse and most useful field of science in MATLAB. This article highlights basic image processing using MATLAB. Many useful topics can be applied using MATLAB or OpenCV library such as erosion, degradation, smoothing, restoration, segmentation, dilation, point processing, line processing and edge detection of images.
MATLAB based GUI Graphical user interface for digital image watermarking
GUI (Graphical user interface) based watermarking system required a login password for authentication. In the absence of correct password no one will be able to access the program and GUI (Graphical user interface) panel.
In order to run the application you need a 32 or 64 bit operating system with MATLAB software, a cover image and a logo/watermark image. In this project, GUI (Graphical user interface) panel/program is quite user friendly.
Software
The application program has been developed in MATLAB. This will give you to access the main GUI (Graphical user interface) panel. But an incorrect password closed the GUI (Graphical user interface) panel/program. The watermark image will be generated on pressing ‘assemble/embedded watermark’ button. The similarity between cove image and watermarked image is evaluated by calculating the peak signal to noise ration and mean square error values.
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For More, visit at http://www.sofcontraining.com
or
Call Now Our TOLL FREE No. 1800 - 200 – 4051
Noida +91-9873630785
Delhi +91-9711861537
Gurgaon +91-9873588305
Lucknow +91-9838834288
Allahabad +91-7704003025
Jaipur +91-8058033551
Mohali +91-9873349806
Bhopal +91-9755559168
Vadodara +91-9898666980
Ahmedabad +91-9227185900
Pune +91-7387700416
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