Image processing in life science. Applications from cells to food
- Event
- 10. Dresdner Sensor-Symposium 2011
2011-12-05 - 2011-12-07
Dresden - Chapter
- Sensoren für die Bioprozess- und Verfahrenstechnik II
- Author(s)
- F. Perez Alvarado, M. Hussein, T. Becker - Freising
- Pages
- 293 - 296
- DOI
- 10.5162/10dss2011/16.2
- ISBN
- 978-3942710-53-4
- Price
- free
Abstract
Several problems are encountered in modeling and processing of many life science applications such like tissue engineering, bioacoustics, and food processing detection. Recently, various image processing techniques have been developed in an attempt to solve these problems. Due to the rapid advance and high number of researches included in such field, there is always a room for improvement. In this work, advanced image processing approaches are presented and applied to different life science applications. The first approach utilizes image processing in the generation of micro-scaffolds for tissue engineering modeling.
Furthermore, a spectrogram enhancement approach is developed to improve the pattern detection of weevils existence in grain storage, based on their detected and identified sounds. Finally, a novel edge detection method applied on intramuscular fat recognition is presented based on the energy and skewness as two smoothed versions of the meat image. Results, in comparison to experimental data, offer a maximum error of 7.81% in the specified detection process.