| 1. |
- Waldemark, J., et al.
(author)
-
Image analysis for airborne reconnaissance and missile applications
- 2000
-
In: Pattern Recognition Letters. - 0167-8655 .- 1872-7344. ; 21:3, s. 239-251
-
Journal article (peer-reviewed)abstract
- This paper describes how the pulse coupled neural network (PCNN) can be used in various image analysis applications. We especially focus on two time-critical applications, in particular, airborne reconnaissance and missile navigation. Today, biologically inspired sensor analysis systems such as the PCNN can be used in many different applications related to these two major applications. New ideas are shown on how to use PCNN in combination with other image processing transforms, e.g. the Radon transform and foveation point detection to solve image interpretation and missile navigation problems. This includes solving tasks such as image segmentation, object detection and target identification. Finally, a VHDL implementation of the PCNN targeting FPGA is presented.
|
|
| 2. |
- Kermit, M., et al.
(author)
-
Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals
- 2000
-
In: Pattern Recognition Letters. - 0167-8655 .- 1872-7344. ; 21:3, s. 277-281
-
Journal article (peer-reviewed)abstract
- The breathing patterns from sleeping persons suffering from sleep apnea have been measured. A method based on the neural network-like O-algorithm has been applied to capture the onset of sleep apnea. This method is suggested as an indicator for early on-line detection of obstructions in the upper airway. Results from the system tested with airflow signals recorded from five patients during sleep indicate acceptable performance and treatment for developing apnea is possible.
|
|
| 3. |
- Kinser, J. M., et al.
(author)
-
Multidimensional pulse image processing of chemical structure data
- 2000
-
In: Chemometrics and Intelligent Laboratory Systems. - 0169-7439 .- 1873-3239. ; 51:1, s. 115-124
-
Journal article (peer-reviewed)abstract
- Recent advances in the understanding of the mammalian visual cortex have led to new approaches for image processing techniques. As a result of this, computer simulations using the proposed visual cortex model have become very useful in the field of image processing. Models of this kind have the ability to efficiently extract image segments, edges and texture. They operate by generating a set of pulse images (images with binary pixels) for a static input. These pulse images display synchronized activity of neighboring neurons, and it is these images in which the information about segments, edges and texture are displayed. Pulse image generation is dependent on autowaves that travel throughout the image. In order to extend pulse image processing to multidimensional data (i.e., data cubes), the autowaves are designed to expand in all of the cube's dimensions. In this fashion, pulse cubes can be created and the same analysis techniques that have been applied to two-dimensional pulse images can be applied to pulse image cubes. This paper examines and discusses multidimensional pulse image analysis applied to three-dimensional (3D) chemical structural data of 17 beta-estradiol.
|
|
| 4. |
|
|
