Application of human visual system models to LCD image analysis
- Resource Type
- Conference
- Authors
- Sabanovic, Eldar; Matuzevicius, Dalius
- Source
- 2015 IEEE 3rd Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE) Information, Electronic and Electrical Engineering (AIEEE), 2015 IEEE 3rd Workshop on Advances in. :1-5 Nov, 2015
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Feature extraction
Image segmentation
Detectors
Algorithm design and analysis
Distortion
Measurement
Object segmentation
- Language
Automated analysis of the segment LCD images may be utilized to detect hardware or software related problems of the device or LCD itself. The malfunction may be revealed through detection of faulty segments. Difficulties to automate image analysis arise from existing intensity and geometric distortions. We adopt concepts of biological visual systems to improve performance of computational system. In this paper we compare conventional and bio-inspired local feature detectors along with descriptors, and introduce a new feature matching approach based on evidence accumulation. Finally we construct specialized algorithm for alignment of LCD images. The performance of the proposed algorithm has been evaluated on the set of semi-synthetic images. The comparison with common image registration techniques shows elimination of image misalignments.