Results 51 to 60 of about 6,300,985 (321)
Radiation, 2022 Recently, the use of saliency maps to evaluate the image quality of nuclear medicine images has been reported. However, that study only compared qualitative visual evaluations and did not perform a quantitative assessment.
Shota Hosokawa +6 more
doaj +1 more source
Computational Visual Media, 2019 Depth-image-based rendering (DIBR) is widely used in 3DTV, free-viewpoint video, and interactive 3D graphics applications. Typically, synthetic images generated by DIBR-based systems incorporate various distortions, particularly geometric distortions ...
Xiaochuan Wang +3 more
semanticscholar +1 more source
A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory
IEEE Photonics Journal, 2020 Due to more or less deviations in the imaging system, there will be noise in the image, which makes the image segmentation inaccurate. To divide a natural image into a more accurate binary image, the target and background of the image are effectively ...
Sensen Song +3 more
doaj +1 more source
Advances in Mathematical Physics, 2021 The saliency calculation model based on the principle of partial differential equations sometimes highlights areas with high contrast in the background, and the salient targets obtained occasionally have holes.
Lina Wang, Yaoming Liu, Zhike Qian
doaj +1 more source
Energy-Based Generative Cooperative Saliency Prediction [PDF]
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)
2022, 2021 Conventional saliency prediction models typically learn a deterministic mapping from an image to its saliency map, and thus fail to explain the subjective nature of human attention. In this paper, to model the uncertainty of visual saliency, we study the saliency prediction problem from the perspective of generative models by learning a conditional ...
arxiv
IEEE Access, 2022 Techniques for detecting salient objects mimic human behavior by recognizing the most noticeable parts of images as objects. Salient object detection has attracted many researchers’ attention nowadays for various computer vision and pattern ...
Bhagyashree V. Lad +2 more
doaj +1 more source
Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method
AAAI Conference on Artificial Intelligence, 2019 The transformed domain fearures of images show effectiveness in distinguishing salient and non-salient regions. In this paper, we propose a novel deep complex neural network, named SalDCNN, to predict image saliency by learning features in both pixel and
Lai Jiang, Zhe Wang, Mai Xu, Zulin Wang
semanticscholar +1 more source
Inaccurate Supervised Saliency Detection Based on Iterative Feedback Framework
IEEE Access, 2020 Machine learning based bottom-up saliency detection (MLBU) methods are very popular recently. These MLBU methods firstly use prior knowledge to select some regions from the given image as training samples and label them. Based on training set, a saliency
Yu Pang +4 more
doaj +1 more source
Visual Saliency Models for Text Detection in Real World. [PDF]
PLoS ONE, 2014 This paper evaluates the degree of saliency of texts in natural scenes using visual saliency models. A large scale scene image database with pixel level ground truth is created for this purpose.
Renwu Gao +4 more
doaj +1 more source
A DETECTION METHOD OF ARTIFICIAL AREA FROM HIGH RESOLUTION REMOTE SENSING IMAGES BASED ON MULTI SCALE AND MULTI FEATURE FUSION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 In order to solve the problem of automatic detection of artificial objects in high resolution remote sensing images, a method for detection of artificial areas in high resolution remote sensing images based on multi-scale and multi feature fusion is ...
P. Li +6 more
doaj +1 more source