The field of digital image processing refers to processing digital images by means of a digital computer. In recent years, various researchers are turning their attention towards the development of effective, efficient and robust computational techniques/methods for image processing analysis. Vision is the most advanced of our senses, so it is not surprising that images play the single most important role in human perception. However, unlike humans, who are limited to the visual band of the electromagnetic (EM) spectrum, imaging machines cover almost the entire EM spectrum, ranging from gamma to radio waves. They can operate also on images generated by sources that humans are not accustomed to associating with images. These include ultrasound, electron microscopy and computer-generated images. Thus, digital image processing encompasses a wide and varied field of applications.
Image Processing finds the applications in various areas like engineering, medicine, basic sciences, applied sciences, etc. Various researchers and industrialists are working in the areas of image processing & its applications in the fields of image enhancement, image restoration, Mammograms, Digital Water Marking, etc and so on in the last few years. This workshop will be useful for those who were working in different areas of image processing for carrying out their research works in an effective manner.
You have more power than you think. By attending this one day Workshop with Hands-on Training, a thinking process effectively emerges to build/develop and use MATLAB software tool to develop your own idea that paves way to success. With your commitment in this workshop, you can enhance your knowledge in Image Processing using MATLAB tool that we taught and you will learn/know how to create a desktop application for Image Processing using MATLAB tool applications.
TOPICS TO BE HANDLED:
- Basics of MATLAB – An Introduction
- Overview of Image Processing Techniques:
Image Enhancement and Filtering Techniques
- Image segmentation and Classification
- Research Trends in Image Processing
Case-studies: Creating Desktop applications using MATLAB GUI for:
- Retinopathy Image Enhancement
- Classification of Tumors in MRI Images
- Noise Removal in Ultrasonic Images