Single-snapshot 2D color measurement by plenoptic imaging system

2014 ◽  
Author(s):  
Kensuke Masuda ◽  
Yuji Yamanaka ◽  
Go Maruyama ◽  
Sho Nagai ◽  
Hideaki Hirai ◽  
...  
Keyword(s):  
Imaging System ◽  
Color Measurement ◽  
Single Snapshot ◽  
Plenoptic Imaging

Development of a high-speed plenoptic imaging system and its application to marine biology PIV

2020 ◽  
Vol 31 (5) ◽  
pp. 054005
Author(s):  
Zu Puayen Tan ◽  
Richard Alarcon ◽  
Johannes Allen ◽  
Brian S Thurow ◽  
Anthony Moss
Keyword(s):  
High Speed ◽  
Marine Biology ◽  
Imaging System ◽  
Plenoptic Imaging

scholarly journals The Objective Conditions Study and Optimization of Digital Imaging System on Color Measurement：Case with Jadeite

2021 ◽  
Author(s):  
Ziyuan Liu ◽  
Ying Guo ◽  
Yanran Shang ◽  
Bin Yuan
Keyword(s):  
Digital Imaging ◽  
Imaging System ◽  
Orthogonal Experiment ◽  
Color Measurement ◽  
Range Analysis ◽  
Measurement Results ◽  
Digital Imaging System ◽  
Experiment Method ◽  
New Ideas ◽  
Single Factor Experiment

Abstract The application of digital imaging to color measurement is more and more extensive, which also provides new ideas for gemology. In this paper, the single-factor experiment method and orthogonal experiment design are used to study the influence parameters of the digital imaging system (DIS) on gem color measurement. Among them, the illuminance has the most significant impact on the measurement results, followed by the exposure time, and the change of the measurement distance has an insignificant impact on the results; through range analysis and analysis of variance, the most suitable measurement parameters for red jadeite are 1600lx, 12500ms, 25cm.

Color segmentation and extraction of yarn-dyed fabric based on a hyperspectral imaging system

2020 ◽  
pp. 004051752095740
Author(s):  
Zhang Jianxin ◽  
Zhang Kangping ◽  
Wu Junkai ◽  
Hu Xudong
Keyword(s):  
Hyperspectral Imaging ◽  
Clustering Algorithm ◽  
Imaging System ◽  
Color Difference ◽  
Woven Fabrics ◽  
Woven Fabric ◽  
Color Segmentation ◽  
Color Measurement ◽  
Watershed Algorithm ◽  
Density Peak

For multi-color yarn-dyed fabrics which are cross-woven by yarns with different colors, the different colors cannot be directly measured by a traditional spectrophotometer because it can only obtain the average color of solid-color sample in the limited aperture. In this paper, a novel method for color segmentation and extraction for multi-color yarn-woven fabrics based on a Hyperspectral Imaging System (HIS) was proposed. First, the multi-color yarn-woven fabric images were acquired with the HIS. Then a space transformation based on Fréchet distance was used to transform the pre-processed hyperspectral fabric images into gray images, and then an improved watershed algorithm was used to segment the transformed gray images into different color regions. Finally, to solve the problems of over-segmentation with the improved watershed algorithm, an improved k-means clustering algorithm was adopted to merge the over-segmented color regions. The experimental results on four multi-color yarn-woven fabrics showed that the color segmentation accuracy of the proposed method outperformed the ordinary k-means, Fuzzy C-means (FCM), and Density peak cluster (DPC) algorithms on evaluation indexes of compactness (CP) and separation (SP), and the execution efficiency was improved by at least 55%. Furthermore, the color difference between the proposed method and the spectrophotometric measurements ranged from 0.60 to 0.88 CMC (2:1) (Color Measurement Committee) units, which almost satisfied the accuracy of color measurement.

Multi-color measurement of printed fabric using the hyperspectral imaging system

2019 ◽  
Vol 90 (9-10) ◽  
pp. 1024-1037
Author(s):  
Jianxin Zhang ◽  
Junkai Wu ◽  
Xudong Hu ◽  
Xinen Zhang
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging System ◽  
Optimal Number ◽  
Color Segmentation ◽  
Color Measurement ◽  
Self Organizing Map ◽  
Density Peaks ◽  
Silhouette Index ◽  
Som Algorithm ◽  
Density Peaks Clustering

Printed fabrics usually have multiple colors and intricate patterns, which make it difficult to directly measure the colors of the printed fabrics with a traditional spectrophotometer. However, a hyperspectral imaging system (HIS) can measure multiple colors since it acquires the spectral reflectance of a continuous band at every point of the fabric. For multiple-color printed fabrics, color segmentation is also very important. In this paper, color measurement of printed fabrics using the HIS was implemented; an algorithm which combines the self-organizing map (SOM) algorithm and the density peaks clustering (DPC) algorithm was then proposed to automatically determine the number of colors on the printed fabric and accurately segment the color regions for measurement. Firstly, the SOM algorithm was used to identify the main clusters, the DPC algorithm with Silhouette Index was then used to identify the optimal number of colors and merge the clusters. Experimental results show that this algorithm not only automatically determines the optimal number of colors for printed fabric and achieves accurate color segmentation, but requires less time for execution.

Color measurement of single yarn based on hyperspectral imaging system

2020 ◽  
Vol 45 (3) ◽  
pp. 485-494
Author(s):  
Jianxin Zhang ◽  
Junkai Wu ◽  
Xinen Zhang ◽  
Xudong Hu
Keyword(s):  
Hyperspectral Imaging ◽  
Imaging System ◽  
Color Measurement ◽  
Single Yarn

scholarly journals Study on Some Thermal and Electrical Properties of Basalt Fabric Modified with Metal and Ceramics as a Result of Magnetron Sputtering

Polymers ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2087
Author(s):  
Pamela Miśkiewicz ◽  
Iwona Frydrych ◽  
Magdalena Tokarska ◽  
Wojciech Pawlak
Keyword(s):  
Electrical Properties ◽  
Magnetron Sputtering ◽  
Imaging System ◽  
Radiant Heat ◽  
Original Method ◽  
Color Measurement ◽  
Contact Heat ◽  
Instrumental Color ◽  
Thermal And Electrical Properties ◽  
Fabric Surface

The main aim of the research was to compare the values of some thermal and electrical parameters obtained for a basalt fabric modified with the metal and ceramics coatings. The surface modification of basalt fabric was made by using a magnetron sputtering technique. Chrome and zirconium(IV) oxide coatings were deposited on the fabric surface. The thermal and electrical properties of selected fabrics were determined. In order to assess the comfort properties of fabrics, the thermal resistance of materials was analyzed. Instrumental color measurement was used for an assessment of the surface of modified and unmodified basalt fabric. Using a non-contact digital color imaging system, DigiEye, an original method of samples surface analysis was presented. As a result of research, the modification of basalt fabric surface for applications in a hot work environment enabled the improvement of thermal properties in relation to the references samples. The first level of protection against contact heat for a contact temperature of 100 °C was obtained for the zirconium(IV) oxide-modified basalt fabric. The first level of protection against radiant heat was obtained for all samples. The highest value for the heat radiant resistance was obtained for the chrome-modified basalt fabric.

scholarly journals Lighting Deviation Correction for Integrating-Sphere Multispectral Imaging Systems

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3501
Author(s):  
Zhe Zou ◽  
Hui-Liang Shen ◽  
Shijian Li ◽  
Yunfang Zhu ◽  
John H. Xin
Keyword(s):  
Multispectral Imaging ◽  
Polynomial Regression ◽  
Light Transmission ◽  
Imaging System ◽  
Image Data ◽  
Correction Method ◽  
Color Measurement ◽  
Integrating Sphere ◽  
Lighting Condition ◽  
Practical Applications

In an integrating sphere multispectral imaging system, measurement inconsistency can arise when acquiring the spectral reflectances of samples. This is because the lighting condition can be changed by the measured samples, due to the multiple light reflections inside the integrating sphere. Besides, owing to non-uniform light transmission of the lens and narrow-band filters, the measured reflectance is spatially dependent. To deal with these problems, we propose a correction method that consists of two stages. The first stage employs a white board to correct non-uniformity and a small white patch to correct lighting deviation, both under the assumption of ideal Lambertian reflection. The second stage uses a polynomial regression model to further remove the lighting inconsistency when measuring non-Lambertian samples. The method is evaluated on image data acquired in a real multispectral imaging system. Experimental results illustrate that our method eliminates the measurement inconsistency considerably. This consequently improves the spectral and colorimetric accuracy in color measurement, which is crucial to practical applications.

scholarly journals Effect of wavefront aberrations on a focused plenoptic imaging system: a wave optics simulation approach

2015 ◽  
Author(s):  
Massimo Turola ◽  
Chris J. Meah ◽  
Richard J. Marshall ◽  
Iain B. Styles ◽  
Stephen Gruppetta
Keyword(s):  
Imaging System ◽  
Wave Optics ◽  
Simulation Approach ◽  
Wavefront Aberrations ◽  
System A ◽  
Plenoptic Imaging
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