Recognition Method for Abnormal Water Surface Based on SOM
| Autor: | Zuo Jianjun, Wu Youfu |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Background subtraction
Color histogram Color normalization Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Subtraction Pattern recognition Mixture model ComputingMethodologies_PATTERNRECOGNITION Computer vision Artificial intelligence Cluster analysis business Classifier (UML) Histogram equalization |
| Zdroj: | Advances in Intelligent Systems Research. |
| ISSN: | 1951-6851 |
| Popis: | Abnormal Water Surface monitoring and recognition technique still is the research focus at present. In this paper, we first establish a background model with Gaussian Mixture Model, achieve the abnormal region quickly using background difference method, then, a improve algorithm of color moment calculation is used to extract the abnormal features, finally the SOM model is used to cluster the characteristics of the data, the data classifier is established. Keywords-Background subtraction; Color moments; Color histogram; Clustering; Recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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