Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Automatic Produce Classification From Images Using Color, Texture And Appearance Cues|
|Abstract:||We propose a system to solve a multi-class produce categorization problem. For that, we use statistical color, texture, and structural appearance descriptors (bag-of--features). As the best combination setup is not known for our problem, we combine several individual features from the state-of-the-art in many different ways to assess how they interact to improve the overall accuracy of the system. We validate the system using an image data set collected on our local fruits and vegetables distribution center. © 2008 IEEE.|
|Citation:||Proceedings - 21st Brazilian Symposium On Computer Graphics And Image Processing, Sibgrapi 2008. , v. , n. , p. 3 - 10, 2008.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.