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Filtering by: Subject Image processing -- Mathematics Committee Member Fern, Alan

Object detection in biological images using a search-based framework

Creator:

Lam, Michael

Abstract:

This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...

Resource Type:

Masters Thesis

Full Text:

approaches developed to address other domains (e.g. natural scenes). An image may show more than one
Incorporating labeled features into image classification using generalized expectation

Creator:

Moore, Travis

Abstract:

Image classification is a difficult problem, often requiring large training sets to get satisfactory results. However this is a task that humans perform very well, and incorporating user feedback into these learning algorithms could help reduce the dependency on large amounts of labeled training data. This process has already been...

Resource Type:

Masters Thesis

Full Text:

Features into Image Classification using Generalized Expectation Abstract approved: Weng-Keen Wong
Image features and learning algorithms for biological, generic and social object recognition

Creator:

Zhang, Wei

Abstract:

Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been widely employed to tackle the variability of objects in pose, scale, lighting, texture, color, and so on. Different types of object recognition problems usually require...

Resource Type:

Dissertation

Full Text:

and Computer Engineering on March 16, 2009. Title: Image Features and Learning Algorithms for