MATLAB- image processing need idea for code

In summary, the conversation revolves around finding the time interval between when a particle travels between two regions of interest. The goal is to develop a code using software like MATLAB to track the particle's movement during experiments. The challenge is that the process is too fast to track with the naked eye, so image processing and motion estimation techniques, possibly using Kalman Filters, may be needed. The person asking for help is new to programming and is looking for guidance on how to get started.
  • #1
Urmi Roy
753
1

Homework Statement



As per the attached picture, we are basically trying to find out the time interval between the instants that the particle (black dot) is in the first region of interest and the instant that it is in the second region of interest.

i have a video in which the particle in question is shown to travel between these regions of interest...but obviously, these regions are not marked out on the video, since these are just hypothetical.

The idea is to make a code on a software such as MATLAB that we can use during experiments on the particle we are investigating so that each time we do the experiment, we can be sure as to how long it takes to do so.

The problem is that in real life(during experiment) the process is so fast, that we cannot track the velocity with the naked eye...

Homework Equations



The Attempt at a Solution



Being new to programming, I have no idea how to begin this..I need a starter...I thought
of using MATLAB image processing...I don't know if that's a good idea...

Could someone please tell me how to start? How do I make a code for this? What do I need to know? What extra stuff do I need to study?
 

Attachments

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  • #2
I got to know that its got something to do with motion estimation and with some use of Kalman FIlters does anyone have any idea as to how to use these on MATLAB?
 

FAQ: MATLAB- image processing need idea for code

What is MATLAB?

MATLAB is a programming language and software environment commonly used in scientific and engineering fields for data analysis, visualization, and algorithm development. It is also widely used for image processing tasks due to its robust tools and functions.

What is image processing?

Image processing is the manipulation of digital images using computer algorithms to enhance, analyze, or extract information from the images. It involves techniques such as filtering, segmentation, and feature extraction to improve the visual quality or extract useful information from images.

How can MATLAB be used for image processing?

MATLAB has a comprehensive Image Processing Toolbox that provides a set of functions and algorithms specifically designed for image processing tasks. These tools can be used to perform various operations on images, such as filtering, noise removal, edge detection, and feature extraction.

What are some examples of image processing tasks that can be done in MATLAB?

Some common image processing tasks that can be done in MATLAB include image enhancement, image restoration, image segmentation, object detection and recognition, and image classification. MATLAB also has built-in tools for image registration, image stitching, and 3D image processing.

Can you provide an example of a MATLAB code for image processing?

Yes, here is a simple code for converting a color image to grayscale using MATLAB's built-in functions:

img = imread('color_image.jpg'); % read the imagegray_img = rgb2gray(img); % convert to grayscale using rgb2gray functionimshow(gray_img); % display the converted image

This code reads a color image, converts it to grayscale, and displays the resulting image. This is just one of the many image processing tasks that can be performed using MATLAB.

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