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How image processing project using matlab can be done?


Image processing is the field of signal processing where both the input and output signals are images. Images can be thought of as two-dimensional signals via a matrix representation, and image processing can be understood as applying standard one-dimensional signal processing techniques to two-dimensional signals.

              MATLAB is a high-performance language for technical computing with powerful commands and syntax. It is used for many purposes like Math’s and computation, data analysis, algorithm development, modelling stimulation and prototyping. Edge detection, noise and image histogram modelling are some important and basic topics in image processing.


 1)  Edge detection: An image is nothing but mapping of intensity of the light reflecting from a scene captured from a camera, and edges are the discontinuity of the scene intensity function. We can detect these edges using MATLAB commands.


     2) Noise: Noise in any system is unwanted. In image processing, noise in a digital image arises during image acquisition and also during transmission. Different types of noise include speckle, Gaussian, salt-and-pepper and more. We can use these types of noise as special effects in an image using MATLAB.


   3)  Histogram modelling. A histogram of an image provides a vast description about an image. It represents the occurrence of various gray levels relative to the frequencies. In this program, we plot the histogram of the original image and of the histogram-equalized image.
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