A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of the Hough transform
Computer Vision, Graphics, and Image Processing
Digital image processing and computer vision: an introduction to theory and implementations
Digital image processing and computer vision: an introduction to theory and implementations
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Finding Edges and Lines in Images
Finding Edges and Lines in Images
Microarray Image Processing and Quality Control
Journal of VLSI Signal Processing Systems
Correlation Statistics for cDNA Microarray Image Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
EURASIP Journal on Applied Signal Processing
Perfect image segmentation using pulse coupled neural networks
IEEE Transactions on Neural Networks
Hi-index | 0.00 |
This work is concerned with the development of an automatic image processing tool for DNA microarray images. This paper proposes, implements and tests a new tool for cDNA image analysis. The DNAs are imaged as thousands of circularly shaped objects (spots) on the microarray image and the purpose of this tool is to correctly address their location, segment the pixels belonging to spots and extract the quality features of each spot. Techniques used for addressing, segmentation and feature extraction of spots are described in detail. The results obtained with the proposed tool are systematically compared with conventional cDNA microarray analysis software tools.