Merge Technique for Automated Reconstruction of Large Image

Image flip CAPTCHA

The massive and automated access to Web resources through robots has made it essential for Web service providers to make some conclusion about whether the "user" is a human or a robot. A Human Interaction Proof (HIP) like Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) offers a way to make such a distinction. CAPTCHA is a reverse Turing test used by Web serv...

A Robust Split and Merge Technique for Automated Reconstruction of Building Objects

Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU

Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...

Building Extraction from Multiple Data Sources: a Data Fusion Framework for Reconstruction of Generic Models

Automated building extraction from multi-source data has attracted great attention in recent years. This paper presents an approach to automated building extraction by fusion of image data, height data and 2D ground plans. In this approach buildings are detected using ground plans and height data. A split-and-merge process is applied to fuse image and height data and derive the parametric forms...

A modular hierarchical approach to 3D electron microscopy image segmentation.

The study of neural circuit reconstruction, i.e., connectomics, is a challenging problem in neuroscience. Automated and semi-automated electron microscopy (EM) image analysis can be tremendously helpful for connectomics research. In this paper, we propose a fully automatic approach for intra-section segmentation and inter-section reconstruction of neurons using EM images. A hierarchical merge t...