Adaptive Window Selection for Non-uniform Lighting Image Thresholding

Autor: P. Kanungo, Tapaswini Pattnaik
Rok vydání: 2021
Předmět:
Computer engineering. Computer hardware
Window selection
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Separation and Segmentation
Image (mathematics)
Image analysis and processing
TK7885-7895
Local thresholding
Image processing
0202 electrical engineering
electronic engineering
information engineering

Selection (genetic algorithm)
Non-uniform Lighting
Landmark
business.industry
Non-uniform lighting
020207 software engineering
Pattern recognition
QA75.5-76.95
Function (mathematics)
Partition (database)
Thresholding
Image Analysis and Processing
Bimodal distri
Separation and segmentation
Electronic computers. Computer science
Benchmark (computing)
020201 artificial intelligence & image processing
Computer Vision and Pattern Recognition
Artificial intelligence
business
Software
Zdroj: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 20, Iss 1 (2021)
Popis: Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriate for thresholding. After the partitioning, each subimage is segmented by Otsu’s thresholding approaches. The performance of the proposed method is validated on benchmark test images with different degree of uneven lighting. Based on the qualitative and quantitative measures, the proposed method is fully automatic, fast and efficient in comparison to many landmark approaches.
Databáze: OpenAIRE