A peak detection algorithm and its application to histogram-based image data reduction
作者： M. Ibrahim Sezan
DOI: 10.1016/0734-189X(90)90161-N
关键词: Histogram matching 、 Adaptive histogram equalization 、 Mathematics 、 Quantization (image processing) 、 Image histogram 、 Algorithm 、 Histogram 、 Balanced histogram thresholding 、 Histogram equalization 、 Image processing
摘要: Abstract A new automatic peak detection algorithm is developed and applied to histogram-based image data reduction (quantization). The uses a signal derived either from the histogram or cumulative distribution function locate peaks in histogram. Specifically, gray levels at which start, end, attain their maxima are estimated. To implement reduction, gray-level thresholds set between peaks, chosen as quantization levels. results of using proposed for purposes presented case various images.
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