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 |
| Externí odkaz: |
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