Results 61 to 70 of about 16,201 (241)
Superpixel Convolutional Networks using Bilateral Inceptions
, 2016 In this paper we propose a CNN architecture for semantic image segmentation. We introduce a new 'bilateral inception' module that can be inserted in existing CNN architectures and performs bilateral filtering, at multiple feature-scales, between ...
A Adams +11 more
core +1 more source
Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification
Remote SensingSuperpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu +7 more
doaj +1 more source
Bioengineering, 2022 Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee +3 more
doaj +1 more source
Distantly Supervised Road Segmentation
, 2017 We present an approach for road segmentation that only requires image-level annotations at training time. We leverage distant supervision, which allows us to train our model using images that are different from the target domain.
Kerola, Tommi +2 more
core +1 more source
Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua +3 more
doaj +1 more source
Visual Object Tracking: The Initialisation Problem [PDF]
, 2018 Model initialisation is an important component of object tracking. Tracking algorithms are generally provided with the first frame of a sequence and a bounding box (BB) indicating the location of the object.
De Ath, George, Everson, Richard
core +2 more sources
A survey of recent interactive image segmentation methods
Computational Visual Media, 2020 Image segmentation is one of the most basic tasks in computer vision and remains an initial step of many applications. In this paper, we focus on interactive image segmentation (IIS), often referred to as foreground-background separation or object ...
Hiba Ramadan +2 more
doaj +1 more source
Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images
Applied Sciences, 2022 Prostate brachytherapy is a treatment for prostate cancer; during the planning of the procedure, ultrasound images of the prostate are taken. The prostate must be segmented out in each of the ultrasound images, and to assist with the procedure, an ...
Jay Carriere +3 more
doaj +1 more source
Clothing Co-Parsing by Joint Image Segmentation and Labeling [PDF]
, 2014 This paper aims at developing an integrated system of clothing co-parsing, in order to jointly parse a set of clothing images (unsegmented but annotated with tags) into semantic configurations.
Lin, Liang, Luo, Ping, Yang, Wei
core +2 more sources
Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs [PDF]
, 2013 We address the problem of segmenting an image into a previously unknown number of segments from the perspective of graph partitioning. Specifically, we consider minimum multicuts of superpixel affinity graphs in which all affinities between non-adjacent superpixels are negative.
Andres, B. +6 more
openaire +2 more sources