Active contours driven by non-local Gaussian distribution fitting energy for image segmentation
Sign Up to like & getrecommendations! Published in 2018 at "Applied Intelligence"
DOI: 10.1007/s10489-018-1243-x
Abstract: Image segmentation is still a challenging task in image processing field because of unpredictable noise and intensity inhomogeneity in images. In this paper, we present a novel active contour model for image segmentation by constructing… read more here.
Keywords: contours driven; image; intensity inhomogeneity; image segmentation ... See more keywords
A novel segmentation model for medical images with intensity inhomogeneity based on adaptive perturbation
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6735-5
Abstract: In medical field, it remains challenging to accurately segment medical images due to low contrast, complex noises and intensity inhomogeneity. To overcome these obstacles, this paper provides a novel edge-based active contour model (ACM) for… read more here.
Keywords: model; segmentation; intensity inhomogeneity; medical images ... See more keywords
Segmentation of sonar images with intensity inhomogeneity based on improved MRF
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DOI: 10.1016/j.apacoust.2019.107051
Abstract: Abstract Sonar is one of the most important tools for underwater object detection and submarine topography reconstruction. To classify sonar images automatically and accurately is essential for the navigation and path planning of autonomous underwater… read more here.
Keywords: intensity inhomogeneity; sonar; segmentation; images intensity ... See more keywords
Segmentation of MR Images of the Brain to Detect WM, GM, and CSF Tissues in the Presence of Noise and Intensity Inhomogeneity
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DOI: 10.1080/03772063.2017.1409088
Abstract: ABSTRACT Segmentation of brain MR images for the detection of various healthy brain tissues such as white matter, gray matter, and cerebrospinal fluid is of immense interest to detect and to diagnose different brain-related disorders… read more here.
Keywords: image; intensity inhomogeneity; presence; segmentation ... See more keywords
LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2848471
Abstract: Intensity inhomogeneity is common in real-world images and inevitably leads to many difficulties for accurate image segmentation. Numerous level-set methods have been proposed to segment images with intensity inhomogeneity. However, most of these methods are… read more here.
Keywords: taylor expansion; intensity inhomogeneity; approximation; intensity ... See more keywords