A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Farhan Riaz (Autor) Outra; Mario Dinis Ribeiro (Autor) Outra; Pedro Pimentel Nunes (Autor) Outra; Miguel Tavares Coimbra (Autor) FCUP

Ata de Conferência Internacional

Título: 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)

Páginas: 1443-1446

20th IEEE International Conference on Image Processing (ICIP)

Melbourne, AUSTRALIA, SEP 15-18, 2013

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 2 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Física

Outras Informações

ID Authenticus: P-009-5AA

DOI: 10.1109/icip.2013.6738296

Abstract (EN): Classification of texture images, especially in cases where the images are subjected to arbitrary rotation and scale changes due to dynamic imaging conditions is a challenging problem in computer vision. This paper proposes a novel methodology to obtain rotation and scale invariant texture features from the images. The feature extraction for a given image involves the calculation of the averages of Gabor filter responses at various scales and orientations. For rotation and scaling of images, these averages indicate the respective shifts in the features. These shifts are normalized by doing summations of Gabor responses across scales and then taking the magnitude of Discrete Fourier Transforms across the resulting features and vice versa thus giving us scale and rotation invariant texture features. The proposed features are used for identifying cancer in the vital stained magnification endoscopy images. Experiments demonstrate the superiority of the proposed feature set over several other state-of-the-art texture feature extraction methods with around 90% classification accuracy for identifying cancer in gastroenterology images.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4