Track: Information Technology and Information Systems
Abstract
The computer vision is the object of growing interest, in all areas of knowledge, in the analysis of information extracted from a scene. In this work, we present a robust system of real-time image recognition using Angle Histogram. Will be demonstrated in this paper the use of histogram of angles, integrated to the fuzzy clustering method to make the computer vision system insensitive to rotation and translation of the object under analysis, making it faster and effective treatment and through image analysis.
Finally, will be presented that the recognition model used is sufficiently robust to generate control signal and determine the action to be realized in applications in the most several areas and domains.