PLANT LEAF IDENTIFICATION BASED ON VOLUMETRIC FRACTAL DIMENSION

Autor(es)

Backes, Andre Ricardo ^[1] ; Casanova, Dalcimar ^[2] ; Bruno, Odemir Martinez ^[2]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, BR-13560970 Sao Carlos, SP - Brazil

^[2] Univ Sao Paulo, Inst Fis Sao Carlos, BR-13560970 Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE; v. 23, n. 6, p. 1145-1160, SEP 2009.
• Citações Web of Science: 77

Resumo

Texture is an important visual attribute used to describe the pixel organization in an image. As well as it being easily identified by humans, its analysis process demands a high level of sophistication and computer complexity. This paper presents a novel approach for texture analysis, based on analyzing the complexity of the surface generated from a texture, in order to describe and characterize it. The proposed method produces a texture signature which is able to efficiently characterize different texture classes. The paper also illustrates a novel method performance on an experiment using texture images of leaves. Leaf identification is a difficult and complex task due to the nature of plants, which presents a huge pattern variation. The high classification rate yielded shows the potential of the method, improving on traditional texture techniques, such as Gabor filters and Fourier analysis. (AU)

• Processo FAPESP: 06/53972-6 - Análise e identificação de espécies vegetais através de textura
• Beneficiário: Dalcimar Casanova
• Modalidade de apoio: Bolsas no Brasil - Mestrado
• Processo FAPESP: 06/54367-9 - Estudos de metodos de analise de complexidade em imagens.
• Beneficiário: André Ricardo Backes
• Modalidade de apoio: Bolsas no Brasil - Doutorado