Hybrid Robust Image Processing System Via Tele-Operative Man-Machine Interface
| Autor: | Si-Chan Kim, Heon Hwang |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Brightness
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Top-hat transform Image processing Plant Science Geometric shape Hough transform law.invention law Robustness (computer science) Digital image processing Segmentation Computer vision Artificial intelligence business Agronomy and Crop Science |
| Zdroj: | Environment Control in Biology. 44:189-198 |
| ISSN: | 1883-0986 1880-554X |
| DOI: | 10.2525/ecb.44.189 |
| Popis: | Hybrid robust image processing system which extracts visual features of interest during plant cultivation was developed based on the wireless tele-operative man-machine interface. The robustness of processing image was achieved via task sharing between the computer and the operator. Utilizing a man-machine interactive hybrid decision-making system which was composed of three modules such as wireless image transmission, task specification and identification, and man-machine friendly interface, computing burden and the instability of the image processing results caused by the variation of illumination and the complexity of the environment from the ambiguity among stems, leaves, shades, and fruits were overcome. Color and brightness reflectance of various parts at the cultivation site such as soil, mulching vinyl, straw, leaves, and fruits were analyzed. Segmentation of an object of interest was performed utilizing the trend of brightness and color distribution of each part. Hough transform was modified for the image obtained from the locally specified window to extract the geometric shape and position of the elliptic fruit. The processing time was less than 100 ms. The proposed system showed the robustness and practicability in identifying plant status at the cultivation site. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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