A Novel Algorithm for Kidney Stone Detection Using Image Processing Techniques

Project Code :TMMAIP368

Objective

The main objective of this project is to detect the stones in the kidney by using image processing techniques.

Abstract

Ultrasound imaging is one of the available imaging techniques used for the diagnosis of kidney abnormalities. The detection of kidney stones using ultrasound imaging is a highly challenging task as they are of low contrast and contain speckle noise. This challenge is overcome by employing suitable image processing techniques. This paper presents a technique for the detection of kidney stones through different steps of image processing. The first step is image pre-processing. Image enhancement is a part of preprocessing which is used to enhance the image. Next, the image segmentation is performed on the preprocessed image using the thresholding technique. Finally, the segmented images are analyzed to detect the location of the stone.

Keywords: Ultrasound Imaging, Imaging Techniques, kidney stones, Image Processing.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Requirements:

MATLAB R2018a or above

Hardware Requirements:

Operating Systems:

• Windows 10

• Windows 7 Service Pack 1

• Windows Server 2019

• Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

Introduction to Matlab
What is EISPACK & LINPACK
How to start with MATLAB
About Matlab language
Matlab coding skills
About tools & libraries
Application Program Interface in Matlab
About Matlab desktop
How to use Matlab editor to create M-Files
Features of Matlab
Basics on Matlab
What is an Image/pixel?
About image formats
Introduction to Image Processing
How digital image is formed
Importing the image via image acquisition tools
Analyzing and manipulation of image.
Phases of image processing:

Acquisition
Image enhancement
Image restoration
Color image processing
Image compression
Morphological processing
Segmentation etc.,

How detect & send a mail using Matlab
How to extend our work to another real time applications
Project development Skills

Problem analyzing skills
Problem solving skills
Creativity and imaginary skills
Programming skills
Deployment
Testing skills
Debugging skills
Project presentation skills
Thesis writing skills

Demo Video

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