Matlab Image Processing Homework Help


Image processing is one of the branches of electrical engineering. It is also known visual information and can be used in Matlab. Image processing uses graphic images in investigation and modification of information. These graphic images are based on their model of acquisition. Students are required to construe the required algorithm by defining suitable parameters which are reliant on the acquisition model.

In the past image processing was analogue but nowadays it has become digital and shifted to the use of computers. Digital image processing employs spatial domain filtering technique which is a neighborhood operation to modify an image. In this technique, algorithms to the values of the pixel in the neighborhood of the corresponding input pixel is applied to determine the value of any pixel in the output image.

Uses of digital image processing algorithms

  • Image sensor signals can be converted into digital images
  • Digital algorithms can be used to remove noise and improve clarity
  • Engineers can determine the number of objects in the scene and exact the size of the image
  • It can be used to prepare images for printing or display
  • Image compression.

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  • Fourier transforms and frequency-domain filtering
  • Image display and exploration
  • Morphological operations
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  • Geometric transformations
  • Transforms

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Engineering students are required to produce and carry out Matlab image processing projects as part of their coursework. Matlab has a number of toolkits which can be used to carry out operations for image projects. Image processing operations are intricate and often include concerns related to image representation, compression and strategies. Students cannot be blamed for finding most of the topics in image processing complex and confusing. This is because image processing on Matlab requires commitment and time to grasp the concepts. Most students have a busy schedule and cannot do extensive research on their projects and often end up frustrated.

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