An Efficient Object Orientation Detection for Machine Vision
Prashant Kumar, K. Satheesh kumar · International Journal of Scientific Research · 2012
Object detection and object orientation detection is one of the key important process in machine vision applica- tions. In this paper an efficient algorithm was proposed for calculating the orientation of objects in 2-D space by computing the geometric moments. The real time object detection and orientation detection require less computational complexity methods. The geometric based method provides relatively good performance with a reasonable computational complexity. To in- crease the efficiency of the algorithm further, Morphological operations such as OPEN and CLOSE are used which eliminates gaps, hole and peninsulas. This moment-based approach is very useful to find the position and orientation of objects in the image plane, which has a wide range of applications from networked embedded robotics to the medical care field.