|
Images, Patterns and Machine Learning
|
|
Learning image operators
Designing image operators to perform an image processing task often requires specific knowledge and practical experience in the field. Achieving satisfactory results may require considerable trial and error effort. The main question under investigation in this project is how to learn an image transformation from samples of input-output image pairs.
Learning image operators from training samples
Related (past) project: Combinação de Classificadores FAPESP (01/July/2005 to 30/june/2007)
|
|
Image segmentation
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 ...
|
|
ExpressMath - Recognition of handwritten mathematical expressions
Handwriting recognition is an interesting and challenging problem. There are many applications that could benefit from computational systems with handwriting recognition capabilities. This project is concerned with recognition of online handwritten math expressions.
See more details here
|
|
Document image processing
Many interesting problems that can be addressed using machine learning and graph modeling methods.
|
|
Analysis of astronomical data
This is a project within NAP-LabCosmos, in collaboration with researchers at IAG-USP and IF-USP.
The main tasks are related to image/data processing and analysis, mainly those coming from large-scale astronomical sky surveys based on optical telescopes.
|
|
Plankton image processing and analysis
|