Fiber Plates for Image Conversion Devices

In the paper "Colour-to-Greyscale Image Conversion by Linear Anisotropic Diffusion of Perceptual Colour Metrics", Farup et al. presented an algorithm to convert colour images to greyscale. The algorithm produces greyscale reproductions that preserve detail derived from local colour differences in the original colour image. Such detail is extracted by using linear anisotropic diffusion to build a greyscale reproduction from a gradient of the original image that is in turn calculated using Riemannised colour metrics. The purpose of the current paper is to re-evaluate one of the psychometric experiments for these two methods (CIELAB L* and anisotropic Δ99) by using a flipping method to compare their resulting images instead of the side by side method used in the original evaluation. In addition to testing the two selected algorithms, a third greyscale reproduction was manually created (colour graded) using a colour correction software commonly used to process motion pictures. Results of the psychometric experiment found that when comparing images using the flipping method, there was a statistically significant difference between the anisotropic Δ99 and CIELAB L* conversions that favored the anisotropic method. The comparison between Δ99 conversion and the manually colour graded image also showed a statistically significant difference between them, in this case favoring the colour graded version.

Download Full-text

Interface deflections induced by the Marangoni effect: an application to infrared-visible image conversion

Journal of Physics D Applied Physics ◽

10.1088/0022-3727/14/11/005 ◽

1981 ◽

Vol 14 (11) ◽

pp. 1967-1977 ◽

Cited By ~ 12

Author(s):

J C Loulergue ◽

P Manneville ◽

Y Pomeau

Keyword(s):

Marangoni Effect ◽

Visible Image ◽

Image Conversion

Download Full-text

Machine Learning-based Whitefly Feature Identification and Counting

Journal of Imaging Science and Technology ◽

10.2352/j.imagingsci.technol.2022.66.1.010401 ◽

2021 ◽

Author(s):

Kai-Chao Yao ◽

Shih-Feng Fu ◽

Wei-Tzer Huang ◽

Cheng-Chun Wu

Keyword(s):

Machine Learning ◽

Data Storage ◽

Ccd Camera ◽

Machine Learning Algorithms ◽

Feature Identification ◽

Matching Algorithm ◽

Vision Development ◽

Counting Data ◽

Image Conversion ◽

Pyramid Matching

This article uses LabVIEW, a software program to develop a whitefly feature identification and counting technology, and machine learning algorithms for whitefly monitoring, identification, and counting applications. In addition, a high-magnification CCD camera is used for on-demand image photography, and then the functional programs of the VI library of LabVIEW NI-DAQ and LabVIEW NI Vision Development Module are used to develop image recognition functions. The grayscale-value pyramid-matching algorithm is used for image conversion and recognition in the machine learning mode. The built graphical user interface and device hardware provide convenient and effective whitefly feature identification and sample counting. This monitoring technology exhibits features such as remote monitoring, counting, data storage, and statistical analysis.

Download Full-text

Mammographic Image Conversion Between Source and Target Acquisition Systems Using cGAN

Machine Learning in Medical Imaging - Lecture Notes in Computer Science ◽

10.1007/978-3-030-59861-7_53 ◽

2020 ◽

pp. 523-531

Author(s):

Zahra Ghanian ◽

Andreu Badal ◽

Kenny Cha ◽

Mohammad Mehdi Farhangi ◽

Nicholas Petrick ◽

...

Keyword(s):

Target Acquisition ◽

Mammographic Image ◽

Image Conversion

Download Full-text

Developing an engaging whiteboard animation video for vitamins

Journal of Physics Conference Series ◽

10.1088/1742-6596/2111/1/012025 ◽

2021 ◽

Vol 2111 (1) ◽

pp. 012025

Author(s):

S Purwaningsih ◽

A A Anggraeni

Keyword(s):

School Facilities ◽

Vocational School ◽

Design Stage ◽

Feasibility Assessment ◽

Nutrition Science ◽

Generation Z ◽

Team Selection ◽

Image Conversion ◽

Pro Tools ◽

Science Subject

Abstract Whiteboard animation videos are engaging learning media for Generation Z. This study aimed to develop and assess the feasibility of a whiteboard animation video for vitamin in the Nutrition Science subject for class X culinary vocational school. This study was research and development using a 4D approach (define, design, develop, disseminate). The define stage analyzed the curriculum, material, student character, learning media, and school facilities. The design stage included the writing and assessing the material, the writing and assessing of storyboards, and production team selection. The develop stage was making a video and assessing the feasibility. Animation images were created using Paint Tool Sai. Image conversion from JPEG to SVG was performed with Inkscape. The dubber’s voice was recorded with Universal Audio using the Apollo Twin audio interface and Avantone CV12 microphone. The audio was edited in Pro Tools 2020.9. To produce a whiteboard animation video, animation images, captions, dubber’s voice, and back sound were combined with VideoScribe. Videos used mpg format. In order to maintain video duration below 10 minutes, the video was divided into two parts. The assessment of video feasibility was carried out by one media expert and two content experts. The assessment of feasibility at the disseminate stage was carried out to 30 users. Based on the feasibility assessment, this video was very suitable to be applied as a learning medium.

Download Full-text

Hole Filling in Image Conversion Using Weighted Local Gradients

Sensors and Materials ◽

10.18494/sam.2021.3046 ◽

2021 ◽

Vol 33 (5) ◽

pp. 1577

Author(s):

Yung-Wen Lee ◽

Dong-Meau Chang ◽

Chun-Chi Chen ◽

Chyuan-Huei Thomas Yang

Keyword(s):

Hole Filling ◽

Image Conversion

Download Full-text

Identification of Freshness of Marine Fish Based on Image of Hue Saturation Value and Morphology

Jurnal INFORM ◽

10.25139/inform.v6i1.3228 ◽

2021 ◽

Vol 6 (1) ◽

pp. 40-48

Author(s):

Ekojono Ekojono ◽

Al Wegi Herman ◽

Mentari Mustika

Keyword(s):

Nearest Neighbor ◽

The Body ◽

K Nearest Neighbor ◽

The People ◽

Image Conversion ◽

Object Part ◽

A Cell ◽

Protein Amino Acids ◽

Image Object ◽

Rgb Image

Euthynus is one of the fish that is widely consumed for the enjoyment of the people of Indonesia or abroad, because of its very soft quality, easy to obtain, and contains a lot of essential protein amino acids that are good for the body. This research aims to identify the freshness of the fish purchased based on the eyes and fish gills. The initial process of identifying the freshness of fish uses several methods. Image input process through image object taking using a cell phone camera. The image object is used to determine the value of the RGB image object. RGB color extraction clarifies the value obtained from the image object before proceeding to the next process. Image resize is the process of cutting the image on the desired object part. Image conversion using the HSV method was used to determine the freshness of fish in the gills. The Local Binary Pattern method is used to determine the freshness of the fisheye. The next step is to refine the RGB image into Morphology. The KNN (K-Nearest Neighbor Method) method is used to group objects based on learning data closest to the object. The journal analysis results on the comparison of methods, after 45 trials for each method, found that the Hue Saturation Value method obtained the highest success by 90% and for the texture value obtained 85% success.

Download Full-text