Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features
| Autor: | Pavel Škrabánek, Filip Majerík |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Normalization (image processing) Pattern recognition 0102 computer and information sciences 02 engineering and technology 01 natural sciences Support vector machine 010201 computation theory & mathematics White Wine Precision viticulture Support vector machine classifier 0202 electrical engineering electronic engineering information engineering Preprocessor 020201 artificial intelligence & image processing Grape berry Artificial intelligence business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319336237 CSOC (1) |
| DOI: | 10.1007/978-3-319-33625-1_4 |
| Popis: | The detection of grapes in real scene images is a serious task solved by researches dealing with precision viticulture. Our research has shown that in the case of white wine varieties, grape berry detectors based on a support vector machine classifier in combination with a HOG descriptor are very efficient. In this paper, simplified versions of our original solutions are introduced. Our research showed that skipping contrast normalization by image preprocessing accelerates the detection process; however, the performance of the detectors is not negatively influenced by this modification. |
| Databáze: | OpenAIRE |
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