Superpixels: An evaluation of the state-of-the-art
Superpixels group perceptually similar pixels to create visually meaningful entities while
heavily reducing the number of primitives for subsequent processing steps. As of these …
heavily reducing the number of primitives for subsequent processing steps. As of these …
An extensive survey on superpixel segmentation: A research perspective
BV Kumar - Archives of Computational Methods in Engineering, 2023 - Springer
Several Superpixel segmentation techniques have recently been developed. Superpixels
combine perceptually similar pixels to form visually significant entities, lowering the amount …
combine perceptually similar pixels to form visually significant entities, lowering the amount …
Superpixel segmentation: A benchmark
Various superpixel approaches have been published recently. These algorithms are
assessed using different evaluation metrics and datasets resulting in discrepancy in …
assessed using different evaluation metrics and datasets resulting in discrepancy in …
A survey on the utilization of Superpixel image for clustering based image segmentation
Superpixel become increasingly popular in image segmentation field as it greatly helps
image segmentation techniques to segment the region of interest accurately in noisy …
image segmentation techniques to segment the region of interest accurately in noisy …
Superpixel segmentation using Gaussian mixture model
Superpixel segmentation partitions an image into perceptually coherent segments of similar
size, namely, superpixels. It is becoming a fundamental preprocessing step for various …
size, namely, superpixels. It is becoming a fundamental preprocessing step for various …
Stereo superpixel: An iterative framework based on parallax consistency and collaborative optimization
Stereo superpixel segmentation aims to obtain the superpixel segmentation results of the left
and right views more cooperatively and consistently, rather than simply performing …
and right views more cooperatively and consistently, rather than simply performing …
Supervoxel-based brain tumor segmentation with multimodal MRI images
L Fang, X Wang, Z Lian, Y Yao, Y Zhang - Signal, Image and Video …, 2022 - Springer
Magnetic resonance imaging (MRI) has high accuracy, which does not only causes less
damage to the patients, but also has a high spatial resolution. Besides, MRI is often used in …
damage to the patients, but also has a high spatial resolution. Besides, MRI is often used in …
A segmentation algorithm incorporating superpixel block and holistically nested edge for sugarcane aphids images under natural light conditions
Highlights•A Holistically-Nested Edge was introduced in superpixel for image
segmentation.•The proposed superpixel algorithm performed better compared with previous …
segmentation.•The proposed superpixel algorithm performed better compared with previous …
Fsnet: Frequency domain guided superpixel segmentation network for complex scenes
Existing superpixel segmentation algorithms mainly focus on natural image with high-
quality, while neglecting the inevitable environment constraint in complex scenes. In this …
quality, while neglecting the inevitable environment constraint in complex scenes. In this …
Iterative spatial fuzzy clustering for 3D brain magnetic resonance image supervoxel segmentation
Background Although supervoxel segmentation methods have been employed for brain
Magnetic Resonance Image (MRI) processing and analysis, due to the specific features of …
Magnetic Resonance Image (MRI) processing and analysis, due to the specific features of …