Segmentation of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gray Level Thresholding in Badly Illuminated Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Characters in Scene Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Text Detection for Video Analysis
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
Image-based quality monitoring system of limestone ore grades
Computers in Industry
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A thresholding technique is developed for segmenting digital images with bimodal reflectance distributions under nonuniform illumination. The algorithm works in a raster format, thus making it an attractive segmentation tool in situations requiring fast data throughput. The theoretical base of the algorithm is a recursive Taylor expansion of a continuously varying threshold tracking function.