My main research interests lie in the intersection of two subject fields: image processing/analysis and machine learning.

Segmentation of images may be effectively accomplished through user interaction. Developing new algorithms and easy interaction ways to reduce the required interaction effort is one of the main goals of this project.

SegmentIt is an Interactive Image Segmentation Tool written in Java, developed by B. Klava, that allows handling image partition hierarchies as well as markers.

See related publications at B. Klava's page ...

Handwriting recognition is an interesting and challenging problem. There are many applications that could benefit from computational systems with handwriting recognition capabilities. This project relates to recognition of online handwritten math expressions.

See more details here

Learning morphological operator from training examples

To be updated soon ...

Related (past) project: Combinação de Classificadores
FAPESP (01/July/2005 to 30/june/2007)

Software: VisionDataset

Astronomical image/data analysis: in collaboration with NAP LabCosmos

Plankton image segmentation and classification: in collaboration with Laboratory of Plankton Systems

Quantification of angiogenesis: in collaboration with Prof. Lígia Ferreira Gomes (Faculdade de Ciências Farmacêuticas, Departamento de Análises Clínicas e Toxicológicas, USP)

QR code detection.
FastQR at sourceforge
Results

GPR data classification
(matéria na Agência Universitária de Notícias)

Detection of Schistosome eggs