Comparison of Different Color Models for Priority Based Color Matching of Plant Parts Used in DUS Testing

2021 ◽  
pp. 471-486
Author(s):  
Gopinath Bej ◽  
Tamal Dey ◽  
Sabyasachi Majumdar ◽  
Abhra Pal ◽  
Amitava Akuli ◽  
...  
Keyword(s):  
Color Matching ◽  
Plant Parts ◽  
Color Models ◽  
Dus Testing ◽  
Different Color

scholarly journals Effects of Different Color Models in Hand Gesture Recognition

2017 ◽  
Vol 10 (12) ◽  
pp. 1-8
Author(s):  
Ashwini Kumar Malviya ◽  
Meenu Chawla ◽  
Keyword(s):  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Color Models ◽  
Different Color

scholarly journals Silhouette index for determining optimal k-means clustering on images in different color models

2018 ◽  
Vol 7 (2.14) ◽  
pp. 105 ◽  
Author(s):  
Abd Rasid Mamat ◽  
Fatma Susilawati Mohamed ◽  
Mohamad Afendee Mohamed ◽  
Norkhairani Mohd Rawi ◽  
Mohd Isa Awang
Keyword(s):  
Image Processing ◽  
Color Model ◽  
Cluster Validation ◽  
Validation Process ◽  
Color Models ◽  
Silhouette Index ◽  
Hsv Color Model ◽  
Different Color ◽  
Lab Color Model ◽  
Cie Lab

Clustering process is an essential part of the image processing. Its aim to group the data according to having the same attributes or similarities of the images. Consequently, determining the number of the optimum clusters or the best (well-clustered) for the image in different color models is very crucial. This is because the cluster validation is fundamental in the process of clustering and it reflects the split between clusters. In this study, the k-means algorithm was used on three colors model: CIE Lab, RGB and HSV and the clustering process made up to k clusters. Next, the Silhouette Index (SI) is used to the cluster validation process, and this value is range between 0 to 1 and the greater value of SI illustrates the best of cluster separation. The results from several experiments show that the best cluster separation occurs when k=2 and the value of average SI is inversely proportional to the number of k cluster for all color model. The result shows in HSV color model the average SI decreased 14.11% from k = 2 to k = 8, 11.1% in HSV color model and 16.7% in CIE Lab color model. Comparisons are also made for the three color models and generally the best cluster separation is found within HSV, followed by the RGB and CIE Lab color models.  

Stego sensitivity measure and multibit plane based steganography using different color models

2006 ◽  
Author(s):  
Sos S. Agaian ◽  
Benjamin Rodriguez ◽  
Juan Pablo Perez
Keyword(s):  
Sensitivity Measure ◽  
Color Models ◽  
Different Color

scholarly journals Biomarker Detection in Whole Slide Imaging based on Statistical Color Models

2010 ◽  
Author(s):  
Jie Shu ◽  
Guoping Qiu ◽  
Mohammad Ilyas ◽  
Philip Kaye
Keyword(s):  
Statistical Models ◽  
Color Image ◽  
Biomarker Detection ◽  
Color Spaces ◽  
Whole Slide Imaging ◽  
Analysis Problem ◽  
Color Image Analysis ◽  
Color Models ◽  
Colorectal Biopsies ◽  
Different Color

This paper presents a technique for immunostaining biomarker detection in digital slides. We treat immunostaining detection as a color image analysis problem and build statistical color models using a large number of labeled positive and negative immunostaining pixels. We have implemented the statistical models in different color spaces and show that the opponent chromaticity signals effectively characterize the color distributions of the immunostaining biomarkers and that the luminance is an unreliable and distractive signal. We have applied the technique to the detection of positive P53 immunostaining in digital slides of oesophagitis and colorectal biopsies. We present experimental results and show that the technique can achieve a biomarker detection rate of over 98% with 5% false positives.

Human Skin Color Detection Technique Using Different Color Models

2021 ◽  
pp. 261-279
Author(s):  
Ruqaiya Khanam ◽  
Prashant Johri ◽  
Mario José Diván
Keyword(s):  
Human Skin ◽  
Skin Color ◽  
Detection Technique ◽  
Color Models ◽  
Skin Color Detection ◽  
Color Detection ◽  
Different Color

Segmentation of Arecanut Bunches: a Comparative Study of Different Color Models

2021 ◽  
Author(s):  
R. Dhanesha ◽  
D. K. Umesha ◽  
C. L. Shrinivasa Naika ◽  
G. N. Girish
Keyword(s):  
Comparative Study ◽  
Color Models ◽  
Different Color

Comparative Study of Ink-Jet Color Proofing Systems Based on Color Management

2014 ◽  
Vol 910 ◽  
pp. 405-409
Author(s):  
Chang Xian Cheng ◽  
Yan Mei Liang
Keyword(s):  
Color Difference ◽  
Management Systems ◽  
Color Management ◽  
Color Matching ◽  
Color Gamut ◽  
Matching Effect ◽  
Ink Jet ◽  
Color Differences ◽  
Jet Printing ◽  
Different Color

Abstract. In order to study the color matching effect of ink-jet printing press under different color management systems. I applied EFI and ORIS series color management soft wares separately to the same Epson ink-jet printer and optimized the proofing with exploring the most reasonable settings. After that, I will compare the gamut and color difference in a special color management module, and also make a contrast with a standard color gamut to check the color matching effect. The results show that the average color differences of the two soft wares are all below 1.0. However, differences measured by ORIS is lower, falling to 0.5 only, which implies the proofing under ORIS color management is more similar to the presswork and more stable.

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