Results 91 to 100 of about 6,095 (211)
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017 Text detection in natural image is something to do before performing character recognition. The process of text detection plays an important role in the acquisition of information in an image.
Yohannes Yohannes
doaj +1 more source
, 2011 Superpixels are small image segments that are used in popular approaches to object detection and recognition problems. The superpixel approach is motivated by the observation that pixels within small image segments can usually be attributed the same ...
Moore, A.P.
core
Superpixel-driven level set tracking
, 2012 In this paper, we propose a superpixel-driven method for level set tracking. In particular, by taking a superpixel-based speed function, the level set evolution is accelerated greatly.
Xi Li +7 more
core +1 more source
Texture-Aware Superpixel Segmentation
, 2019 International audienceMost superpixel algorithms compute a trade-off between spatial and color features at the pixel level. Hence, they may need fine parameter tuning to balance the two measures, and highly fail to group pixels with similar local texture
Berthoumieu, Yannick +3 more
core +2 more sources
Superpixel-based spatiotemporal saliency detection
, 2014 International audienceThis paper proposes a superpixel-based spatiotemporal saliency model for saliency detection in videos. Based on the superpixel representation of video frames, motion histograms and color histograms are extracted at superpixel level ...
Luo, Shuhua +3 more
core +1 more source
Cluster Sensing Superpixel and Grouping
, 2016 Superpixel algorithms have shown significant potential in computer vision applications since they can be used to accelerate other computationally demanding algorithms.
Fang, Lu, Li, Rui, Rui Li, Lu Fang
core +1 more source
Superpixel segmentation based on anisotropic edge strength [PDF]
, 2019 Superpixel segmentation can benefit from the use of an appropriate method to measure edge strength. In this paper, we present such a method based on the first derivative of anisotropic Gaussian kernels.
Bernard De Baets +3 more
core +1 more source
Echogram SLIC superpixel parameters.
, 2018 Echogram SLIC superpixel parameters.
Joseph M. Wheaton (400702) +2 more
core +1 more source
Superpixel image segmentation.
, 2018 (a) original image. (b) result of superpixel segmentation.
Guan Yang (520726) +4 more
core +1 more source
Adaptive Superpixel for Active Learning in Semantic Segmentation [PDF]
, 2023 Learning semantic segmentation requires pixel-wise annotations, which can be time-consuming and expensive. To reduce the annotation cost, we propose a superpixel-based active learning (AL) framework, which collects a dominant label per superpixel instead.
Kim, Hoyoung +4 more
core