IPS: A new flexible framework for image processing

Image processing is a discipline which is of great importance in various real applications; it encompasses many methods and many treatments. Yet, this variety of methods and treatments, though desired, stands for a serious requirement from the users of image processing software; the mastery of every single programming language is not attainable for every user. To overcome this difficulty, it was perceived that the development of a tool for image processing will help to understanding the theoretical knowledge on the digital image. Thus, the idea of designing the software platform Image Processing Software (IPS) for applying a large number of treatments affecting different themes depending on the type of analysis envisaged, becomes imperative. This software has not come to substitute the existing software, but simply a contribution in the theoretical literature in the domain of Image Processing. It is implanted in the MATLAB platform: effective and simplified software specialized in image treatments in addition to the creation of Graphical User Interfaces (GUI) [5][6]. IPS is aimed to allow a quick illustration of the concepts introduced in the theoretical part. This developed software enables users to perform several operations. It allows the application of different types of noise on images, to filter images color and intensity, to detect edges of an image and to apply image thresholding by defining a variant threshold, to cite only a few. Keywords—Image Processing; Noise; Filter; MATLAB; Edge detection.