An image processing tool for efficient feature extraction in computer-aided detection systems
Document Type
Conference Proceeding
Publication Date
11-1-2010
Abstract
In this paper, we present an image processing tool that supports efficient image feature extraction and pre-processing developed in the context of a computer-aided detection (CAD) system for lung cancer nodule detection from CT images. We outline the main functionalities of the tool, which implements a number of novel methods for handling image pre-processing and feature extraction tasks. In particular, we describe an efficient way to compute the runlength feature, a photometric feature describing the texture of an image. © 2010 IEEE.
Publication Source (Journal or Book title)
Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010
First Page
438
Last Page
442
Recommended Citation
Soysal, O., Chen, J., & Schneider, H. (2010). An image processing tool for efficient feature extraction in computer-aided detection systems. Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010, 438-442. https://doi.org/10.1109/GrC.2010.128