Digital Image Processing: PIKS Inside
By W. Pratt. 2001
465 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/375ceb29aaf36e6d25e1dcabc631a1f031620789
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In Computer Vision and Pattern Recognition
Citations in the corpus
- License Plate Recognition From Still Images and Video Sequences: A Survey (2008, methodology): “The algorithm was executed on the basis of dynamic programming and tested on 1000 examples captured from a real-life LPR system with an error rate of 3.3%.”
- A methodological approach to the classification of dermoscopy images (2007, methodology): “The preprocessing phase included image smoothing using a color median filter with an 11 × 11 kernel, color reduction using the variance-based quantization method [20], and approximate lesion localization based on the Otsu thresholding method [21].”
- Real-time scene text localization and recognition (2012, methodology): “A very efficient yet simple algorithm [18] calculates the Euler number by counting 2 × 2 pixel patterns called quads.”
- A Survey of Digital Map Processing Techniques (2014, methodology): “These traditional morphological operators are based on the hit-or-miss transform using masks of various sizes and shapes (see Pratt (2001) for a detailed description of common morphological operators).”
- Border detection in dermoscopy images using statistical region merging (2008, methodology): “The second method is morphological dilation (18) with a circular structuring element of size n.”
- Lesion border detection in dermoscopy images (2009, methodology): “• Applying the Karhunen-Loéve (KL) transformation [8] and retaining the channel with the highest variance.”