Portal de Periódicos da CAPES

A fast thresholding selection procedure for multimodal and unimodal histograms

1995; Elsevier BV; Volume: 16; Issue: 6 Linguagem: Inglês

10.1016/0167-8655(95)80011-h

1872-7344

Du‐Ming Tsai,

Image and Signal Denoising Methods

In this paper, a simple and efficient histogram-based approach is presented for multi-level thresholding. It uses Gaussian kernel smoothing to detect peaks and valleys in a multimodal histogram, and uses a local maximum curvature method to detect points of discontinuity in a unimodal histogram. The computational time will decrease as the desired number of thresholding levels increases. The performance of the proposed algorithm is compared with those of the widely applied between-class variance and entropy methods.