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.
For more information visit
us: http://www.guidancepoint.in/
Comments
Post a Comment