Color-blob-based COSFIRE filters for object recognition

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• 作者：Baris Gecer^a ; ^{b.gecer@imperial.ac.uk} ; George Azzopardi^b ; ^c ; ^{george.azzopardi@um.edu.mt} ; Nicolai Petkov^c ; ^{n.petkov@rug.nl}
• 关键词：Object recognition ; Object representation ; Color ; Feature extraction ; Trainable filters
• 刊名：Image and Vision Computing
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：57
• 期：Complete
• 页码：165-174
• 全文大小：2867 K
• 卷排序：57

文摘

We propose novel color-blob-based COSFIRE filters. They are effective for recognizing also objects with diffuse region boundaries. Such a filter models (a part of) an object by a specific arrangement of color blobs. The blobs contain information about the sizes and colors of the interior of regions. We achieve high recognition rates: GTSRB (98.94%) and butterfly (89.02%) data sets.