We conduct an exhaustive survey of image thresholding methods, categorize them, express
their formulas under a uniform notation, and finally carry their performance comparison. The …

Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …

Segmentation of text from badly degraded document images is a very challenging task due
to the high inter/intra-variation between the document background and the foreground text of …

Otsu method is one of the most successful methods for image thresholding. This paper
proves that the objective function of Otsu method is equivalent to that of K-means method in …

Image segmentation is an important and fundamental task in many digital image processing
systems. Image segmentation by thresholding is the simplest technique and involves the …

This accessible textbook examines the basic technologies needed to support image
processing applications, including the characterization of continuous images, image …

Nondeterministic metaheuristic optimization and digital image processing are two very
different research fields, both extremely active and applicable. They touch in a very limited …

A novel algorithm is proposed for segmenting an image into multiple levels using its mean
and variance. Starting from the extreme pixel values at both ends of the histogram plot, the …

In this paper, we present a new thresholding technique based on two-dimensional Renyi's
entropy. The two-dimensional Renyi's entropy was obtained from the two-dimensional …

Thresholding is an important topic for image processing, pattern recognition and computer
vision. Selecting thresholds is a critical issue for many applications. The fuzzy set theory has …