Image Preprocessing for Artistic Robotic Painting

Artistic robotic painting implies creating a picture on canvas according to a brushstroke map preliminarily computed from a source image. To make the painting look closer to the human artwork, the source image should be preprocessed to render the effects usually created by artists. In this paper, we consider three preprocessing effects: aerial perspective, gamut compression and brushstroke coherence. We propose an algorithm for aerial perspective amplification based on principles of light scattering using a depth map, an algorithm for gamut compression using nonlinear hue transformation and an algorithm for image gradient filtering for obtaining a well-coherent brushstroke map with a reduced number of brushstrokes, required for practical robotic painting. The described algorithms allow interactive image correction and make the final rendering look closer to a manually painted artwork. To illustrate our proposals, we render several test images on a computer and paint a monochromatic image on canvas with a painting robot.

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Research and Application of Several Key Techniques in Hyperspectral Image Preprocessing

Frontiers in Plant Science ◽

10.3389/fpls.2021.627865 ◽

2021 ◽

Vol 12 ◽

Author(s):

Yu-hang Li ◽

Xin Tan ◽

Wei Zhang ◽

Qing-bin Jiao ◽

Yu-xing Xu ◽

...

Keyword(s):

Image Segmentation ◽

Classification Accuracy ◽

Hyperspectral Image ◽

Hyperspectral Images ◽

Classification Model ◽

Spectral Information ◽

Convolution Kernel ◽

Image Correction ◽

Image Preprocessing ◽

Segmentation Image

This paper focuses on image segmentation, image correction and spatial-spectral dimensional denoising of images in hyperspectral image preprocessing to improve the classification accuracy of hyperspectral images. Firstly, the images were filtered and segmented by using spectral angle and principal component analysis, and the segmented results are intersected and then used to mask the hyperspectral images. Hyperspectral images with a excellent segmentation result was obtained. Secondly, the standard reflectance plates with reflectance of 2 and 98% were used as a priori spectral information for image correction of samples with known true spectral information. The mean square error between the corrected and calibrated spectra is less than 0.0001. Comparing with the black-and-white correction method, the classification model constructed based on this method has higher classification accuracy. Finally, the convolution kernel of the one-dimensional Savitzky-Golay (SG) filter was extended into a two-dimensional convolution kernel to perform joint spatial-spectral dimensional filtering (TSG) on the hyperspectral images. The SG filter (m = 7,n = 3) and TSG filter (m = 3,n = 4) were applied to the hyperspectral image of Pavia University and the quality of the hyperspectral image was evaluated. It was found that the TSG filter retained most of the original features while the noise information of the filtered hyperspectral image was less. The hyperspectral images of sample 1–1 and sample 1–2 were processed by the image segmentation and image correction methods proposed in this paper. Then the classification models based on SG filtering and TSG filtering hyperspectral images were constructed, respectively. The results showed that the TSG filter-based model had higher classification accuracy and the classification accuracy is more than 98%.

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Non-Photorealistic Rendering Techniques for Artistic Robotic Painting

Robotics ◽

10.3390/robotics8010010 ◽

2019 ◽

Vol 8 (1) ◽

pp. 10 ◽

Cited By ~ 6

Author(s):

Lorenzo Scalera ◽

Stefano Seriani ◽

Alessandro Gasparetto ◽

Paolo Gallina

Keyword(s):

Aesthetic Appreciation ◽

Photorealistic Rendering ◽

International Exhibitions ◽

Painting Robot ◽

Set Up ◽

The Aesthetic ◽

Six Degree Of Freedom ◽

Collaborative Robot ◽

Robotic Painting ◽

Rendering Techniques

In this paper, we present non-photorealistic rendering techniques that are applied together with a painting robot to realize artworks with original styles. Our robotic painting system is called Busker Robot and it has been considered of interest in recent art fairs and international exhibitions. It consists of a six degree-of-freedom collaborative robot and a series of image processing and path planning algorithms. In particular, here, two different rendering techniques are presented and a description of the experimental set-up is carried out. Finally, the experimental results are discussed by analyzing the elements that can account for the aesthetic appreciation of the artworks.

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Reconstruction of the Stone Tablet Based on Vectorization of Images

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.155-156.800 ◽

2012 ◽

Vol 155-156 ◽

pp. 800-804

Author(s):

Jie Zhang

Keyword(s):

Least Square Method ◽

Least Square ◽

Numerical Control ◽

Source Image ◽

Numerical Control Machining ◽

Image Preprocessing

Traditionally, it costs a lot of time and efforts to reconstruct the stone tablet manually. The system which can transformat the image got by photography into the dxf file is proposed and make it possible to program automatically and to machine in numerical control machining. To get the dxf file, using the image preprocessing、 the surrounding eight pixels and the least square method to complete the Vectorization in this paper. Finally, the specific interface program to generate a DXF file is given. The result proved feasible and the comparison of the source image and the objective dxf file opened by AutoCAD is given in this paper.

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The influence of atmospheric light scattering on reflectance measurements during photogrammetric survey flights at low altitudes over forest areas

Forest Research Papers ◽

10.2478/frp-2018-0007 ◽

2018 ◽

Vol 79 (1) ◽

pp. 59-68 ◽

Cited By ~ 2

Author(s):

Anna Mazur ◽

Mariusz Kacprzak ◽

Katarzyna Kubiak ◽

Jan Kotlarz ◽

Krzysztof Skocki

Keyword(s):

Image Processing ◽

Light Scattering ◽

Image Quality ◽

Atmospheric Correction ◽

Aerial Images ◽

Image Correction ◽

Affect Image Quality ◽

Imaging Sensors ◽

Reflectance Measurements ◽

Atmospheric Light

Abstract In this article, we describe methods for the correction of multispectral aerial images by accounting for atmospheric interference. We also summarize the first correction results for images acquired at flight altitudes and evaluate the suitability of selected methods for the atmospheric correction of these images. Furthermore, processes and phenomena occurring in the atmosphere that potentially affect image quality and interfere with the electromagnetic radiation registered by the imaging sensors are discussed as well. The purpose of atmospheric correction is to reduce or eliminate atmospheric interference during multispectral image processing. Here we present methodology for image correction based on data gathered at various altitudes during the autumn flights conducted as a part of the HESOFF project.

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Investigation of Algorithms for Generating Surfaces of 3D Models Based on an Unstructured Point Cloud

CPT2020 The 8th International Scientific Conference on Computing in Physics and Technology Proceedings ◽

10.30987/conferencearticle_5fce2773873ba5.03310980 ◽

2020 ◽

Author(s):

Ekaterina Glumova ◽

Aleksandr Filinskih

Keyword(s):

Point Cloud ◽

Stereo Matching ◽

Depth Map ◽

Surface Generation ◽

Source Image ◽

Object Model ◽

Two Phase ◽

Optimal Method ◽

3D Object ◽

Cloud Of Points

Methods of 3D object model creation on the basis of unstructured (sparse) cloud of points are considered in the paper. The issues of combining point cloud compaction methods and subsequent surface generation are described. The comparative analysis of generation surfaces algorithms for the purpose of revealing of more effective method using as input data the depth maps received from the sparse cloud of points is carried out. The comparison is made by qualitative, quantitative and temporal criteria. The optimal method of 3D object model creation on the basis of unstructured (sparse) cloud of points and depth map data is chosen. The mathematical description of the point cloud compaction method on the basis of stereo-matching with application of two-phase algorithm of species search and depth map extraction from Multi-View Stereo for Community Photo Collections source image set is provided. The implementation of the method in open-source software Regard3D is realized in practice.

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