Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow

By Oleg V. Michailovich, Yogesh Rathi, Allen R. Tannenbaum. IEEE Transactions on Image Processing, 2007

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Localizing Region-Based Active Contours (2008, neutral): “[20] proposed an image segmentation energy”
Energy-diminishing integration of gradient systems (2014, background): “…(Chafee & Infante (1974); Elliott & Zheng (1986)), the porous medium equation (Otto (2001)), models in image processing (Strzodka et al. (2004); Michailovich et al. (2007)), in differential geometry (Droske & Rumpf (2004); Bobenko & Schröder (2005)), and in quantum systems (Bao & Du (2004)).”
A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation (2011, neutral): “Consequently, an alternative characterization , based on so-called region-based methods, is to assume that the " object " and " background " possess differing image statistics (see [8], [32], [30]).”
Minimization of Region-Scalable Fitting Energy for Image Segmentation (2008, background): “The region-scalability of the RSF energy is due to the kernel function with a scale parameter, which allows the use of intensity information in regions at a controllable scale, from small neighborhoods to the entire domain.”