Geometrical Characterization of Dipterans’ Wings Towards Automatic Mosquito Identification
- Resource Type
- Conference
- Authors
- Benalcazar, Diego R.; Benitez, Diego S.; Zapata, Sonia; Augot, Denis
- Source
- 2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Power, Electronics and Computing (ROPEC), 2018 IEEE International Autumn Meeting on. :1-6 Nov, 2018
- Subject
- Bioengineering
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Shape
Insects
Gray-scale
Software algorithms
Image color analysis
- Language
- ISSN
- 2573-0770
In this paper, we present an algorithm for the geometrical characterization of Diptera mosquitoes based on morphological characteristics and size relationships within their wings. The software has been written using NI LabVIEW and consists of two main stages. First, Images are manipulated for enhancing the pattern detection. Second, the detected patterns are then analyzed to obtain a set of eleven numeric parameters that describe the sample. The objective is to use this algorithm as the first step towards the development of an automatic classifier of Diptera Mosquitoes genres considering the relevance of this order for the human being.