Abstract Positron Emission Tomography (PET), a non-invasive functional imaging method at
the molecular level, images the distribution of biologically targeted radiotracers with high …

This paper is an effort to encapsulate the various developments in the domain of different
unsupervised, supervised and half supervised brain anomaly detection approaches or …

Hyperspectral remote sensing images contain hundreds of data channels. Due to the high
dimensionality of the hyperspectral data, it is difficult to design accurate and efficient image …

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

In this paper, we present an automatic seeded region growing algorithm for color image
segmentation. First, the input RGB color image is transformed into YCbCr color space …

Image segmentation has been widely used in document image analysis for extraction of
printed characters, map processing in order to find lines, legends, and characters …

Otsu's method of image segmentation selects an optimum threshold by maximizing the
between-class variance in a gray image. However, this method becomes very time …

Dura E Domingo J Ayala G Martí-Bonmatí L (2012) Evaluation of the registration of temporal
series of contrast-enhanced perfusion magnetic resonance 3D images of the liver Computer …

A novel optimal multilevel thresholding algorithm for histogram-based image segmentation
is presented in this paper. The proposed algorithm presents an improved variant of PSO, a …

Multilevel thresholding is one of the most popular image segmentation techniques. In order
to determine the thresholds, most methods use the histogram of the image. This paper …