Applying of Software for Automatic Seed Counting from Photographic Images
Keywords:
Seed, Contours, Grayscale, ImageAbstract
The objective of this research is to develop software for automatically counting seeds from photographic images. The system's performance was evaluated using image processing with the newly developed software on five sample image groups, each containing 100 seeds, totaling 500 seeds. The images used were in a standard resolution of 640x480 pixels. The accuracy of the system for each group was as follows: Group 1: 85% accuracy (average) Group 2: 95% accuracy (average) Group 3: 95% accuracy (average) Group 4: 95% accuracy (average) Group 5: 95% accuracy (average) Overall average accuracy: 93% To use the system, a camera must be connected to a computer to capture images directly, or pre-captured images from a standard camera can also be processed by the software.
Overall, the developed system is considered highly efficient. The accuracy of the software in counting seeds from images is relatively high, making it suitable for practical applications in automatic seed counting from photographic images.
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