International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024
p-ISSN: 2395-0072
www.irjet.net
ImaGenius, An Image Processing App using MATLAB GUI Hiralkuvarba Solanki1, Prof. (Dr.) Tejas Shah2, Prof. (Dr.) Deepali Shah3 1Hiralkuvarba Solanki, Research Scholar, Instrumentation & Control Dept., L.D College of Engineering,
Ahmedabad, Gujarat, India
2Prof. (Dr.) Tejas Shah, Associate Professor, Instrumentation & Control Dept., L.D College of Engineering,
Ahmedabad, Gujarat, India (Dr.) Deepali Shah, Associate Professor, Instrumentation & Control Dept. ,Govt. Engineering College, Sector 28 , Gandhinagar, Gujarat, India ---------------------------------------------------------------------***--------------------------------------------------------------------2. DIFFERENT FILTERING TECHNIQUES IN IMAGE Abstract - The essential & eminent fields of medical PROCESSING science, space exploration, security, and surveillance field 3Prof.
infinitely rely on crucial implication of Image processing. This scenario evolved an important requirement of learning & understanding image processing techniques with user friendly trends of Graphical User Interface (GUI). The proposed work in this publication is aimed to provide an interactive as well as engaging platform for image processing fundamentals. The proposed application deliberately enhances the professional skill of all level users. The proposed application bridges the gap from theoretical aspects to practical applications and enhances the effectiveness of image processing in respective domains.
2.1 Laplacian Filter The Laplacian filter, also known as the Laplacian of Gaussian (LoG) filter, is a commonly used filter in image processing for edge detection and image sharpening. It detects the correct places of edges, tests wider area around picture elements [9]. Work flow of Laplacian Filter is shown in Figure 1.
Key Words: MATLAB GUI, Image Processing, Edge Detection, Image Filtering, Brain Tumor Detection
1. INTRODUCTION Graphical User Interface (GUI) in MATLAB refers to the creation of interactive interfaces for your MATLAB programs [1][4]. These interfaces allow users to interact with your MATLAB code through graphical elements such as buttons, sliders, text boxes, plots, and more, rather than solely through the command line interface. MATLAB provides tools and functions to design and implement GUIs efficiently, making it easier for users to visualize data, adjust parameters, and control the execution of algorithms. GUIs can range from simple interfaces for data visualization to complex applications for image processing, signal analysis, simulation, and more.
Figure 1 Work Flow of Laplacian Filter The Laplacian filter is particularly useful for detecting edges regardless of their orientation. However, it is sensitive to noise, which can lead to false edge detections. To mitigate this issue, the Laplacian filter is often applied after smoothing the image with a Gaussian filter (hence the term Laplacian of Gaussian), which helps suppress noise while preserving edges.
In this paper, a brief visualization of image filtering techniques are provided in a representative manner and one application that is Brain Tumor Detection has been included for understanding of the techniques used using image processing using
2.2. Sobel Filter
MATLAB GUI for understanding Image Processing in Medical Field.
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The Sobel filter is a popular edge detection filter used in image processing. It calculates an approximation of the
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