Section 2 reviews the image processing concepts namely image denoising, image segmentation and edge detection. The rest of this article is organized as follows. This interactive GUI helps the teacher to make the student understand in a better way the concepts behind the image processing techniques. Graphical user interfaces can also be created programmatically using MATLAB functions. GUIDE (Graphical User Interface Development Environment), is the tool in MATLAB to lay out, design, and edit custom graphical user interfaces by including common controls such as list boxes, pull-down menus, and push buttons, as well as MATLAB plots. This approach helps to quickly explore multiple options and iterate to an optimal solution. Immediate results can be produced by interactively executing commands one at a time. Apart from the fundamental data types, MATLAB allows user defined data type too. MATLAB also provides features of traditional programming languages, such as flow control, error handling, and object-oriented programming (OOP).
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So, a single line of MATLAB code can often replace several lines of C or C++ code. In many cases, the support for vector and matrix operations eliminates the need for lengthy for-loops. With the MATLAB language, the programs and algorithms can be developed faster than with traditional languages. The MATLAB language provides native support for the vector and matrix operations that are fundamental to solving engineering and scientific problems, enabling fast development and execution. It is a high level programming environment that is equipped with a good number of toolboxes with functions for integrating MATLAB based algorithms with external applications and languages such as C, C++, Java. MATLAB ( MATrix LABoratory) is a computing platform that is suitable for developing and testing various engineering, science and management applications. Digital image processing concepts can easily be understood if they are taught using visual, experimental and interactive methods.
Hence, Visual and experimental learning methods can influence the students much better than mere lecturing. It is worth mentioning the avowal of Confucius, the great Chinese philosopher that “I hear and I forget. Teaching digital image processing is a challenge for the young teachers who are handling students of all learning styles. Now a days, digital image processing plays a vital role in day-to-day life including (not limited to) multimedia communication, medical diagnostics, astronomy, weather forecasting, pattern matching and recognition (Vehicle number plate recognition, finger print and palm print recognition) for security applications, forensics, geographical information systems, human computer interfaces, industrial inspection, document processing, remote sensing and satellite image processing. Digital image processing is the process of processing digital images with various techniques such as restoration, denoising, segmentation, edge detection etc. This stands as a challenge for higher education teachers and motivates them to adapt visual and experimentation based teaching.
So, when a teacher teaches especially science or engineering, mere lectures alone could not help the students to understand and appreciate the concepts. In this information technology age, the students are no more auditory, but with a learning style of visual and kinaesthetic styles. Practically, a class of students is a group of people having a combination of these three learning styles. There are three main types of learning styles: auditory, visual, and kinaesthetic. Teaching has always been considered as service, so like any other service, when one is not competent is probably unethical. Introduction Teaching is the process of educating or instructing who are ignorant of particular phenomena. It also provides an insight to some of the basic image processing techniques namely image restoration, image denoising, image segmentation and edge detection with examples using MATLAB.ġ. This article addresses a novel method of teaching the concepts of image processing with MATLAB. The pictorial illustrations confer better understanding of the concepts with ease.
The major advantage of using MATLAB is the graphical user interface (GUI) which can contribute positively to understand the concepts with ease. MATLAB is a computing platform that is suitable for developing and testing a number of applications. Teaching the image processing has been a challenge since it requires imagination and creativity to some extent for the students to understand the concepts of image processing. Image processing is an interesting field that studies about various processing techniques for digital images, which is the backbone of the emerging visual communication. In the new era of information technology, the use of visual aids in teaching and learning process is inevitable.
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