## MATLAB Image Processing Assignment Help

If you are pursuing a course in electrical engineering or mathematics, then you have probably learned signal processing. This discipline involves analyzing and processing digital and analog signals. Signal processing also deals with several other signal operations including storing and filtering. Voice or sound signals and transmission signals are examples of signals that can be processed. Image processing, on the other hand, deals with signals where both the input and outputs are images.

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## Subdivisions of Image Processing

Image processing is quite wide and can be divided into two. Our experts have discussed these two subdivisions below:

**Analog Image Processing**This type of processing is performed on analog signals. It deals with 2D analog signals. Analog image processing is done by manipulating images by electrical means through varying the electrical signal. An example of analog image processing is the images on television.

**Digital image processing**This is the process of creating a digital system that carries out operations on a digital image. Digital image processing is extensively used because it is widely applied.

## MATLAB Image Processing Homework Help By Experts

An image can simply be defined as a 2D signal. The mathematical function f(x,y) is usually used to define an image. In this function, x is the horizontal coordinate while y is the vertical coordinate. These values at any point will give us the pixel value of the image at that specific point. You can never regret seeking our MATLAB image processing homework help. We have assembled a competent team of top-rated MATLAB experts who are well-versed in all the concepts of image processing including the following:

**The relationship between a signal and a digital image**Like we have already said, an image is a 2D array. But the question most students usually ask is, “What does an image have to do with a signal?” Well, to understand this, we should get an overview of what a signal is first. From elementary physics or basic engineering, your professor probably defined a signal as a quantity that can be measured through time and over space or any higher dimension. We can simply see a signal as a function that provides some information. A signal can be:

**One dimensional –**This type of signal is measured over time. A perfect example is the voice signal**Two-dimensional –**These types of signals are measured over other physical quantities. An example of a 2D signal is a digital image.

**Creating a Digital Image**The process of capturing an image involves the sunlight which is the source of energy and the sensor array which acquires the image. The source of energy casts light on the object which in turn reflects it to the sensors. This generates a continuous voltage signal by the data that has been sensed. The data needs to be converted to a digital form through quantization and sampling. This results in a matrix of numbers or a 2D array which is a digital image.

Image processing draws its concepts from a myriad of fields including:

- Artificial intelligence (AI)
- Signal processing
- Computer graphics
- Machine and computer visions

From our definition, since an image conveys some information or broadcasts a message, it is considered a signal. A digital camera itself works by transferring a signal from one point of the system to another.

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## Hire our MATLAB Image Processing Experts At your Convenience

The image processing toolbox in MATLAB offers a comprehensive variety of workflow apps and algorithms that support image processing related tasks. This toolbox allows you to visualize, analyze, and develop algorithms. Additionally, you can carry out:

- Image segmentation
- Image enhancement
- Processing of 3D images
- Registering images
- Geometric transformations
- Reduction of noise

Our MATLAB image processing experts can help you with any assignment related to this area including automating basic image processing workflows, segmenting image data interactively, image registration methods comparisons, and many more. Most of the functions in the image processing toolbox allow the generation of code in C/C++. This code can be used for deploying an embedded vision system or desktop prototyping. This means that you can expedite your codes by executing them on GPUs and multicore processors.

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