A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Color based skin classification
2012
Pattern Recognition Letters
Preserved Fulltext
component of a color space, (3) the appropriate pixel based skin color modeling technique and finally, (4) the effect of color constancy algorithms on color based skin classification. ...
decreases performance, (3) the selection of an appropriate skin color modeling approach is important and that the tree based classifiers (Random forest, J48) are well suited to pixel based skin detection ...
and finally, (4) the effect of color constancy algorithms on color based skin classification. ...
doi:10.1016/j.patrec.2011.09.032
fatcat:urgyul2fdzcwfcjc7hw47zmcji
Consistent image-based measurement and classification of skin color
2005
IEEE International Conference on Image Processing 2005
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Little prior image processing work has addressed estimation and classification of skin color in a manner that is independent of camera and illuminant. ...
To this end, we first present new methods for 1) fast, easy-to-use image color correction, with specialization toward skin tones, and 2) fully automated estimation of facial skin color, with robustness ...
In general, classification performed best when color transforms were based only on skin-colored target patches, declining by about 40% (in terms of average rank of correct label) when "skin+gray" or "all ...
doi:10.1109/icip.2005.1530070
dblp:conf/icip/HarvilleBBS05
fatcat:xhsyjm3ycvdkbb2psrjpbif6ve
Soft Biometrics Authentication
2022
Journal of Information Technology Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In the classification process, we first perform facial skin detection by segmentation using the thresholding method in the HSV color space. ...
This manuscript presents the design of a new approach of human skin color authentication. Skin color is one of the most popular soft biometric modalities. ...
But none of these methods offers an authentication approach based on the results of skin color detection and classification. ...
doi:10.4018/jitr.298620
fatcat:l3c7nnpzsrhwfbv6xkr43k5b24
Supervised Learning Methods for Skin Segmentation Based on Pixel Color Classification
2021
Central-European Journal of New Technologies in Research Education and Practice
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In this paper, we offer a comparison between five major supervised learning algorithms for skin segmentation based on the color of individual pixels in images. ...
Using YCbCr representation gave a better performance in skin/non-skin classification. ...
Indeed, based on Table 7 and Figure 11
Model
Conclusion In this study, we addressed the skin segmentation problem based on pixel color using SL methods. ...
doi:10.36427/cejntrep.3.1.779
fatcat:v2lto5vxwvd4pcs5earmbgni2q
Preferred Racial Skin Color Reproduction in an Image based on Race Classification
2015
Journal of Imaging Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Kim, Kyung, and Ha: Preferred racial skin color reproduction in an image based on race classification Figure 1. Block diagram of the proposed skin color reproduction. ...
Based on this classification, the racial preferred skin color for each detected skin region is then selected from candidate racial preferred skin colors that are predefined in a database generated through ...
Based on this classification, the preferred skin color for each detected skin region is selected from a database of candidate racial preferred skin colors. ...
doi:10.2352/j.imagingsci.technol.2015.59.2.020504
fatcat:24bzpm3gxzcn7bp2j5mh3jn5wi
Automatic classification of skin lesions using color mathematical morphology-based texture descriptors
2015
Twelfth International Conference on Quality Control by Artificial Vision 2015
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper an automatic classification method of skin lesions from dermoscopic images is proposed. ...
This method is based on color texture analysis based both on color mathematical morphology and Kohonen Self-Organizing Maps (SOM), and it does not need any previous segmentation process. ...
In this paper an automatic classification method of skin lesions from dermoscopic images with no need of segmentation is proposed. ...
doi:10.1117/12.2182592
fatcat:gp2zhcrd2ngbvbqlmm3ngy56qu
CLASSIFICATION OF TOMATO QUALITY BASED ON COLOR FEATURES AND SKIN CHARACTERISTICS USING IMAGE PROCESSING BASED ARTIFICIAL NEURAL NETWORK
2023
Jurnal Teknik Informatika (Jutif)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
So it can be concluded that the method used has gone well in classifying tomato image quality based on color features and skin characteristics. ...
Therefore, in this research, a method of classification of tomatoes was carried out using Artificial Neural Network (ANN) Backpropagation algorithm by utilizing color features and skin characteristics ...
doi:10.52436/1.jutif.2023.4.5.730
fatcat:hcnjpngakjaw5fnn6e75ysla44
A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
[chapter]
2013
Lecture Notes in Computational Vision and Biomechanics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
This chapter proposes a novel hierarchical classification system based on the K-Nearest Neighbors (K-NN) model and its application to nonmelanoma skin lesion classification. ...
Color and texture features are extracted from skin lesion images. The hierarchical structure decomposes the classification task into a set of simpler problems, one at each node of the classification. ...
Conclusions We have presented an algorithm based on a novel hierarchical K-NN classifier, and its application as the first classification of 5 most common classes of nonmelanoma skin lesion from color ...
doi:10.1007/978-94-007-5389-1_4
fatcat:frvgckorfzbrxgvh6dq33g7ymi
Skin Lesion Classification Based on Surface Fractal Dimensions and Statistical Color Cluster Features Using an Ensemble of Machine Learning Techniques
2021
Cancers
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
As a main contribution, this work proposes a descriptor that combines skin surface fractal dimension and relevant color area features for skin lesion classification purposes. ...
have not been previously used for skin lesion classification purpose. ...
Conclusions In this paper, a study based on the skin surface fractal dimensions and relevant average percentages of the color area features was conducted for skin lesion classification. ...
doi:10.3390/cancers13215256
pmid:34771421
pmcid:PMC8582408
fatcat:z3gko23y6za5vp2nytwgpqblv4
Classification of Banana Maturity Levels Based on Skin Image with HSI Color Space Transformation Features Using the K-NN Method
2022
Journal of Development Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Classification of the level of ripeness of plantain fruit is done with the help of the rapidminer tool. The method used is K-NN. ...
In this study, the author focuses on identifying the level of ripeness of bananas using the image of a plantain fruit that is still intact and its skin. ...
The stages carried out in this study are based on the proposed method, the stages carried out include preprocessing, skin image transformation with color space transformation on the skin using RGB and ...
doi:10.28926/jdr.v6i1.200
fatcat:d7uhbog3v5b7pehc5rmrxz64gq
Threshold Based Skin Color Classification
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Our approach was based multi-skin color Hue, Saturation, and Value color space and multi-level segmentation. ...
Moreover, in this formula, we adopted Gaussian-based weight k-NN algorithm for skin classification. ...
CLASSIFICATION OF SKIN COLOUR The aim of skin color pixel classification is to determine if a color pixel is a skin color or non-skin color. ...
fatcat:o4yxt7t6dvac5oq4lflxqby2d4
Simple mathematical operations based classification of the light color values of the images for skin cell detection
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
These methods are mostly based on skin color classification because the color change in skin is important for medical doctors. ...
However, proposed classification methods are based on complex mathematical equations. ...
In this study, a new classification algorithm based on simple mathematical operations and light color of skin images was proposed. ...
fatcat:crjsm7ng5ravtb4gkfq3wee6ii
Skin Color detection Using Stepwise Neural Network and Color Mapping Co-occurrence Matrix
2013
INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Most of skin classification researches are focused on using pixel-based method to classify skin and non-skin pixels. ...
The performance of each skin color classifier was measured based on true and false positive value. ...
ACKNOWLEDGMENTS We wish to express my sincere appreciation to Professor Javier, Ruiz-del-Solar [26] from Universidad de Chile and Professor Hsu, Rein-Lien [27] from Michigan State University for their skin ...
doi:10.24297/ijct.v12i7.3076
fatcat:3hcluoynmjernpi3q5qhl2q624
Skin segmentation using color and edge information
2003
Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
We show that Bayesian skin color model outperforms many other models such as the piece-wise linear models, Gaussian models and model based on multilayer perceptrons. ...
An algorithm for segmenting skin regions in color images using color and edge information is presented. Skin colored regions are first detected using a Bayesian model of the human skin color. ...
Most existing skin segmentation approaches are based on skin color. Skin regions are detected by looking for pixels that have skin colors. ...
doi:10.1109/isspa.2003.1224755
dblp:conf/isspa/PhungBC03
fatcat:do7lalgn7ras3j2ezczk2f3veq
A Person and Context Specific Approach for Skin Color Classification
2006
18th International Conference on Pattern Recognition (ICPR'06)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
Skin color is an important feature of faces. Various applications benefit from robust skin color detection. ...
This approach is capable to distinguish skin color from extremely similar colors, such as lip color or eyebrow color. ...
They describe the main color spaces and the skin color models and categorize the classification techniques. ...
doi:10.1109/icpr.2006.151
dblp:conf/icpr/WimmerRB06
fatcat:naj57gswbzbqdnuskjrb7u6elm
« Previous
Showing results 1 — 15 out of 116,286 results