Fuzzy automatic contrast enhancement based on fuzzy C-means clustering in CIELAB color space

2016 ◽  
Author(s):  
Po Ting Lin ◽  
Boting Rex Lin
Keyword(s):  
Contrast Enhancement ◽  
Color Space ◽  
Fuzzy C Means ◽  
Cielab Color Space ◽  
Fuzzy C Means Clustering ◽  
Cielab Color

scholarly journals Leaf Segmentation of Rosette Plants using Rough K-Means in CIELab Color Space

2021 ◽  
Author(s):  
Arunita Das ◽  
Daipayan Ghosal ◽  
Krishna Gopal Dhal
Keyword(s):  
Clustering Algorithms ◽  
Color Space ◽  
Ground Truth ◽  
Accurate Analysis ◽  
Partitional Clustering ◽  
Modern Agriculture ◽  
Cielab Color Space ◽  
Fuzzy C Means Clustering ◽  
Leaf Segmentation ◽  
Cielab Color

Segmentation of Plant Images plays an important role in modern agriculture where it can provide accurate analysis of a plant’s growth and possi-ble anomalies. In this paper, rough set based partitional clustering technique called Rough K-Means has been utilized in CIELab color space for the proper leaf segmentation of rosette plants. The eÿcacy of the proposed technique have been analysed by comparing it with the results of tra-ditional K-Means and Fuzzy C-Means clustering algorithms. The visual and numerical results re-veal that the RKM in CIELab provides the near-est result to the ideal ground truth, hence the most eÿcient one.

scholarly journals Automatic measurement of traditional Chinese costume from its silhouette through Fuzzy c-means clustering method

2020 ◽  
Vol 15 ◽  
pp. 155892502097832
Author(s):  
Jiaqin Zhang ◽  
Jingan Wang ◽  
Le Xing ◽  
Hui’e Liang
Keyword(s):  
Industrial Application ◽  
Clustering Algorithm ◽  
Color Space ◽  
Automatic Measurement ◽  
Feature Point ◽  
Feature Points ◽  
Point Location ◽  
Fuzzy C Means ◽  
Fuzzy C Means Clustering ◽  
Environmental Robustness

As the precious cultural heritage of the Chinese nation, traditional costumes are in urgent need of scientific research and protection. In particular, there are scanty studies on costume silhouettes, due to the reasons of the need for cultural relic protection, and the strong subjectivity of manual measurement, which limit the accuracy of quantitative research. This paper presents an automatic measurement method for traditional Chinese costume dimensions based on fuzzy C-means clustering and silhouette feature point location. The method is consisted of six steps: (1) costume image acquisition; (2) costume image preprocessing; (3) color space transformation; (4) object clustering segmentation; (5) costume silhouette feature point location; and (6) costume measurement. First, the relative total variation model was used to obtain the environmental robustness and costume color adaptability. Second, the FCM clustering algorithm was used to implement image segmentation to extract the outer silhouette of the costume. Finally, automatic measurement of costume silhouette was achieved by locating its feature points. The experimental results demonstrated that the proposed method could effectively segment the outer silhouette of a costume image and locate the feature points of the silhouette. The measurement accuracy could meet the requirements of industrial application, thus providing the dual value of costume culture research and industrial application.

Changes in the content of chlorophylls and carotenoids in the rind of Fino 49 lemons during maturation and their relationship with parameters from the CIELAB color space

2019 ◽  
Vol 243 ◽  
pp. 252-260 ◽  
Author(s):  
A. Conesa ◽  
F.C. Manera ◽  
J.M. Brotons ◽  
J.C. Fernandez-Zapata ◽  
I. Simón ◽  
...  
Keyword(s):  
Color Space ◽  
Cielab Color Space ◽  
Cielab Color

Development of a customized whiteness index for dentistry based on CIELAB color space

2016 ◽  
Vol 32 (3) ◽  
pp. 461-467 ◽  
Author(s):  
María del Mar Pérez ◽  
Razvan Ghinea ◽  
María José Rivas ◽  
Ana Yebra ◽  
Ana María Ionescu ◽  
...  
Keyword(s):  
Color Space ◽  
Whiteness Index ◽  
Cielab Color Space ◽  
Cielab Color

Analysis on Color-Distinguishing Threshold of Printed Samples and Chromatic Characteristics of Human Eyes

2012 ◽  
Vol 262 ◽  
pp. 18-21
Author(s):  
Wen Yu Li ◽  
Hao Liang Dong
Keyword(s):  
Theoretical Basis ◽  
Color Space ◽  
Evaluation Study ◽  
Psychophysical Method ◽  
Threshold Values ◽  
Cielab Color Space ◽  
Visual Characteristics ◽  
Human Eyes ◽  
Cielab Color ◽  
Significant Data

In order to study the visual characteristics of the human eye on color-distinguishing threshold levels, an experiment, of which the results provide significant data reference and theoretical basis for improvement of color evaluation methods of printing products, was carried out with 20 observers whose visual characteristics are normal. The observers were provided 5 basic colors that the CIE recommended for color evaluation study, and the constant stimulation psychophysical method was used in the visual experiment. The color patches were printed out with small color threshold variations. The color-distinguishing thresholds and visual characteristics were obtained through the experiment. Results showed that the notable color threshold values of green and red patches were relative larger, indicating larger visual tolerances. It is also shown that the red region in CIELAB color space has the best uniformity to human eyes among the five colors.

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