Research Article
Efficient Image Processing Technique for Solid Waste Bin Detection
@INPROCEEDINGS{10.1007/978-3-030-80621-7_32, author={Bereket Simon Balcha}, title={Efficient Image Processing Technique for Solid Waste Bin Detection}, proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part I}, proceedings_a={ICAST}, year={2021}, month={7}, keywords={Canny Hough transform Orthogonality checking Corner detection Cross correlation Solid waste bin}, doi={10.1007/978-3-030-80621-7_32} }- Bereket Simon Balcha
Year: 2021
Efficient Image Processing Technique for Solid Waste Bin Detection
ICAST
Springer
DOI: 10.1007/978-3-030-80621-7_32
Abstract
The main challenge in the technology of image processing is designing of efficient technique for a suitable application area, because the technology is application dependent. Therefore, great attention must be given to designing of the efficient technique and utilizing of the efficient one for the right application. The main aim of this paper is proposed to design image processing techniques by applying Canny edge detection method for extraction of edges. Next, Hough Transform (HT) for getting strong and thin lines from extracted edges. Eventually, orthogonality checking for corner detection and cropped corner parts of image for similarity matching to detect solid waste bin (SWB). To detect corner of the image correctly, two orthogonal lines whose length and coordinate points are thoroughly considered. These orthogonal lines are extracted from detected corners. A 20-by-20pixel width of the detected corner part is cropped. Similarity matching of template image with original image by using cross correlation is done for the correctly detected corner part of the images. Eventually, performance evaluation of the designed technique with existing techniques is done which shows the proposed technique is efficient in detection of SWB.
