An efficient iterative algorithm for image thresholding

Characteristic analysis of Otsu threshold and its applications

“…Dong et al (2008) considered that the iterative method is mathematically equivalent to the Otsu method. However, this view is not correct.…”

A Hybrid Method for Automatic Counting of Microorganisms in Microscopic Images

“…Because the presence of holes affects the labelling and counting process, we applied the holes filling and labelling algorithms described in [19] [20]. It's achieved using the morphological reconstruction operation as per the following equations:…”

“…Labeling process is performed after grouping the image pixels into regions based on the 4 or 8-connected neighbourhoods [20]. In connected neighbourhood, the pixels are connected to center pixel in its four neighbours left, top, right and bottom and in addition to 4-connected pixels all the 4-diagonal pixels are also included in the 8-connected neighbourhood.…”

Image segmentation based on gray stretch and threshold algorithm

“…Its purpose is to acquire some useful information in the image for higher level image processing. Thresholding [8][9][10][11][12][13] or binarization [14][15][16] is such a widely used method, and generally, its process is to first determine a gray threshold according to some objective criteria and then assign each pixel to one class (such as the foreground) if its gray level or gray value is greater than the determined threshold and otherwise to the other class (such as the background).…”