Uma ferramenta didática para ensino de filtragem no domínio espacial usando OpenCV.js

Abstract

Traditional tools used to perform filtering in the space domain and digital convolution are generally not very effective in their didactic function. Interactive tools, on the other hand, can be extremely useful to fulfill this mission in digital image processing courses, being used for demonstrations and development of new types of filters. In addition, this type of tool can be useful to show how the elements of a filter influence the result of a filtering. This work proposes a didactic tool as an option for teachers and students of digital image processing, bringing a new way to display and compare the differences between the image and its filtered version, in a model of revelation of before and after filtering. The following work describes the process of digital convolution of images, filtering in the frequency domain, the tools used for its development, its resources, utilities and compares its use as a teaching tool in relation to traditional tools.