Automatic buildings detection using Sobel, Roberts, Canny and Prewwitt detector

Abstract

This work deals with the possibilities of contemporary automatic identification of objects. Automatic object identification can be done by two computational procedures, namely object detection and object recognition. This work deals with the automatic buildings detection, specifically. Presented detection is performed using the edge detectors, namely Prewwitt, Roberts, Canny and Sobel. The main goal of our work was to automate the device for the detection of hazardous substances in the air, as the detection of hazardous substances is realized by laser-based CBRN (Chemical, Biological, Radiological and Nuclear) stand-off detectors, which evaluate the measured data from the reflected laser beam. In this case, buildings are the most reflective surfaces. In order to detect a building, it is necessary to find a suitable edge detector to be used in further research and serve as a basis for software solution of automatic identification.

Application of an improved watershed algorithm based on distance map reconstruction in bean image segmentation

“…Canny operator edge detection is one of the most widely used edge detection algorithms [ 21 ], and its calculation steps are as follows. Smooth the image with a Gaussian filter and eliminate excess noise.…”