A fast recurring two-dimensional entropic thresholding algorithm

A 2-phase 2-D thresholding algorithm

“…All experiments were done under VC++6.0 and on a P4-1.7 GHz PC with 512 MB RAM. 2-D entropy crossover method based on a fast algorithm [25] was used to get the optimal threshold point and 3×3 mean filter was used as the second feature in our experiment. T 1 = 0.08 and T 2 = 0.5 were preset according to lots of image segmentation experiments.…”

“…Introducing some other image information could improve the segmentation results. Thus, two-dimension (2-D) thresholding methods that consider two kinds of image information simultaneously have been proposed [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Novel target segmentation and tracking based on fuzzy membership distribution for vision-based target tracking system

“…Segmentation results of the proposed algorithm are compared with the threshold surface method, Huang's method and two-dimensional (2D) entropic thresholding [5,10,17]. The threshold surface method by Yanowitz is efficient for a nonuniform illuminated image [10].…”

“…This technique selects an optimum threshold value that maximizes the a posteriori entropy H 0 of the gray level histogram. In order to improve the segmentation performance of Pun's method, Ahmed and Wu introduced two-dimensional entropy thresholding using the gray level histogram and a histogram of the spatial average level in a given image [4,5]. Brink and Pendock [7] presented a thresholding scheme that minimizes the crossentropy distance which is a more general measure of discrepancy.…”

Automatic Extraction of Lean Tissue for Pork Grading

“…Consequently, the time needed for fuzzy entropy methods is an obstacle for realtime targets. A 2D entropy thresholding algorithm that used the 2-D entropies based on the 2-D-gray level and local average gray levelhistogram to segment images was presented by Wu et al (1999), Sahoo et al (2004), Feng et al (2004, and Jansing et al (1999).…”