UAV Aeromagnetic Path Planning in Complex Terrain Based on a Q-Learning-Assisted Multi-Strategy Starfish Optimization Algorithm. [PDF]
Biomimetics (Basel)Yuan S, Li Z, Zhang J.
europepmc +1 more source
Nanoscale spatial-omics via contrastive embedding of single-molecule localisation data
Shirgill S +11 more
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Computational Breast Anatomy Simulation Using Multi-Scale Perlin Noise [PDF]
IEEE Transactions on Medical Imaging, 2021 Virtual clinical trials (VCTs) of medical imaging require realistic models of human anatomy. For VCTs in breast imaging, a multi-scale Perlin noise method is proposed to simulate anatomical structures of breast tissue in the context of an ongoing breast phantom development effort. Four Perlin noise distributions were used to replace voxels representing
Predrag Bakic +2 more
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Frequency Spectra Filtering for Perlin Noise
The Computer Games Journal, 2018 The procedural generation of terrain with coherent noise is a useful technique but limited in the range and realism of the terrains it can output. Often the results are repetitive. The aim of this paper is to present a method of parameterizing control of the frequency spectra of multi-octave Perlin noise allowing a greater range of terrain ...
Mark Bennett
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Perlin noise and 2D second-order tensor field visualization [PDF]
, 2005 There has been much research in the use of texture for visulization the vector field data, whereas there has only been a few papers concerned specifically with tensor field data. This set is more complex and embeds more information than vector fields. In this paper, firstly texture is modeled by Perlin Noise.
Turner, Martin; id_orcid
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The concept of inverse perlin noise for tactile rendering
2009 IEEE International Workshop on Haptic Audio visual Environments and Games, 2009This paper proposes the concept of inverse perlin noise which is a reverse process of perlin noise. The proposed method enables users to feel the haptic sensation when he/she rubs on the surface of an object. We extract individual random signals from a target object modeled by perlin noise and apply them to haptic actuators.
Sang-Youn Kim
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Generation of Cloud Image Based on Perlin Noise
2010 International Conference on Multimedia Communications, 2010Fast display of realistic cloud scene is a challenging task for researchers in computer graphics. This paper describes a method of simulating cloud based on Perlin noise. The concept of Perlin noise and the method of generating Perlin noise are introduced firstly. Then related functions in our algorithm are described in detail.
Wensheng Dong +2 more
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Neuron Image Synthesizer Via Gaussian Mixture Model and Perlin Noise
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019Microscopy imaging provides valuable information to neuroscientists. There are many different algorithms to analyze these images but due to an absence of ground truths, it is difficult to quantitatively compare the algorithm performance. Realistic synthetic images with known ground truths offer a means of assessing their performance.
Sarah Johnson +2 more
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A Perlin Noise-Based Augmentation Strategy for Deep Learning with Small Data Samples of HRCT Images [PDF]
Scientific Reports, 2018 Hyun-Jin Bae +2 more
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Application of the fractal Perlin noise algorithm for the generation of simulated breast tissue
Proceedings of SPIE, 2015 Software breast phantoms are increasingly seeing use in preclinical validation of breast image acquisition systems and image analysis methods. Phantom realism has been proven sufficient for numerous specific validation tasks.
Sophia Zackrisson +2 more
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