Globally Harmonized System Label detection using Color Segmentation
Thidarat Pinthong, Mahasak Ketcham, Thittaporn Ganokratanaa, Patiyuth Pramkeaw, Narumol Chumuang
Abstract
This paper presents an approach for color detection and segmentation based on Image Processing Process to retrieve candidate regions of GHS Sign. For color classification, where the dimension of each vector can be extended by a group of neighboring pixels. The experimental results are highly accurate and robust for our testing database, where samples are recorded on various states of environment. But in the meantime, it was found that the error processing. It is an image that looks asymmetrical image. It is impossible to detect the symbol GHS.
Topics & Concepts
Artificial intelligenceComputer scienceComputer visionImage segmentationPixelColor spacePattern recognition (psychology)SegmentationColor imageImage processingProcess (computing)Image (mathematics)Operating systemImage and Object Detection TechniquesAdvanced Image and Video Retrieval TechniquesImage Processing Techniques and Applications