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Skin segmentation using color and edge information

S.L. Phung, A. Bouzerdoum, D. Chai
2003 Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.  
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.  ...  These regions are further segmented into skin region candidates that satisfy the homogeneity property of the human skin.  ...  In this paper, we propose an algorithm that combines color and edge information to segment skin regions in color images.  ... 
doi:10.1109/isspa.2003.1224755 dblp:conf/isspa/PhungBC03 fatcat:do7lalgn7ras3j2ezczk2f3veq

Region Enhanced Scale-Invariant Saliency Detection

Feng Liu, Michael Gleicher
2006 2006 IEEE International Conference on Multimedia and Expo  
Our method constructs a scaleinvariant saliency map from an image, segments the image into regions, and enhances the saliency map with the region information.  ...  Saliency measures the low-level stimuli to human vision, and serves as an alternative to semantic image understanding. This paper presents a region enhanced scale-invariant saliency detection method.  ...  the color of the pixel in p i,j,l 's neighborhood, and d is the magnitude of the color difference using the L 2 norm.  ... 
doi:10.1109/icme.2006.262821 dblp:conf/icmcs/LiuG06 fatcat:6zrmtqvh7rdvfpnjilp77xrfja

An Implementation Of Adaptive Propagation-Based Color Sampling For Image Matting

Prof. Amit M. Sahu
2015 Zenodo  
The proposed algorithm combines propagation and color s ampling methods.  ...  result of the different region in the ima ge.  ...  Combined with color-sampling method, it can effectively handle different regions in the image and produce both visually and quantitatively high-quality matting results, and set extracted foreground on  ... 
doi:10.5281/zenodo.1466930 fatcat:hvy725guffhxhlgeyzrriloduu

A Study of Vehicle Detection and Counting System Based on Video

Shuang XU, Lingbin PANG, Huairuo YIN
2014 Sensors & Transducers  
Image processing functions is the use of color image gray processing, image segmentation, mathematical morphology analysis and image fills, etc. on target detection to be processed, and then the target  ...  Vehicle detection is the use of inter-frame difference method and vehicle shadow segmentation techniques for vehicle testing.  ...  In testing hypothesis adopted many kinds of edge detection, filtering algorithm based on image region, will cause large amount of calculation, to meet the real-time and so on.  ... 
doaj:a47632f768204c93875f980db6f0332c fatcat:mycmsvcsybev3a2mcojo42wicu

A Novel Threshold Technique and Fuzzy C-Means Algorithm for Segmentation of Wound

Sirisha Konakala, Sudhakar Putheti
2013 International Journal of Computer Applications  
These methods are identified the edge regions of the wound part that can help clinicians in their diagnosis.  ...  This letter describes the use of threshold values and FCM clustering algorithms for detection of wounds on the skin.  ...  Recently the growing of interest in the problem of skin segmentation, which aim to detect wound on skin regions in an images.  ... 
doi:10.5120/14587-2822 fatcat:t6ty7qgcibgd5jfwbf3sddkqme

Extracting Image Regions by Structured Edge Prediction

Yi-Ting Chen, Jimei Yang, Ming-Hsuan Yang
2015 2015 IEEE Winter Conference on Applications of Computer Vision  
We present two approaches to extract regions from structured edge detection.  ...  We demonstrate the effectiveness of our region generation for image segmentation on the BSDS500 database, and region generation for object proposals on the PASCAL VOC 2007 benchmark database.  ...  This work is supported in part by the NSF CAREER Grant #1149783 and NSF IIS Grant #1152576.  ... 
doi:10.1109/wacv.2015.146 dblp:conf/wacv/ChenYY15 fatcat:33begpl4jjdwtej32it4rf2y5q

Edge Detection based on Kernel Density Estimation [article]

Osvaldo Pereira, Esley Torre, Yasel Garcés, Roberto Rodríguez
2014 arXiv   pre-print
The boundary between two homogeneous regions is defined in two domains: the spatial/lattice domain and the range/color domain.  ...  In this paper, we propose a new method for edge detection in images, based on the estimation by kernel of the probability density function.  ...  We find in [20] an adaptive algorithm to accomplish edge detection in multidimensional and color images.  ... 
arXiv:1411.1297v1 fatcat:tcmg54drnvf6dk5yfbqbrcgzna

Scene parsing by nonparametric label transfer of content-adaptive windows

Frederick Tung, James J. Little
2016 Computer Vision and Image Understanding  
Scene parsing is the task of labelling every pixel in an image with its semantic category.  ...  On a standard benchmark consisting of outdoor scenes from the LabelMe database, CollageParsing obtains state-of-the-art performance with 15 to 19% higher average per-class accuracy than recent nonparametric  ...  Acknowledgements This work was funded in part by the Natural Sciences and Engineering Research Council of Canada. [1] G. Heitz, D.  ... 
doi:10.1016/j.cviu.2015.08.009 fatcat:5h4dnkhaqbfyboqofizirbdvqu

Selective Feature Fusion Based Adaptive Image Segmentation Algorithm

Qianwen Li, Zhihua Wei, Wen Shen
2018 Advances in Multimedia  
Image segmentation is an essential task in computer vision and pattern recognition. There are two key challenges for image segmentation.  ...  To get better segments on different images, we further develop an algorithm to change threshold adaptively for each image by measuring the size of the region.  ...  Therefore, LAB color, LBP texture, and Canny edge features will be extracted and fused for image segmentation. Selective Feature Fusion.  ... 
doi:10.1155/2018/4724078 fatcat:ge5ipf6bzrgvzfwgkc5jkzli4y

A ROAD EXTRACTION METHOD BASED ON HIGH RESOLUTION REMOTE SENSING IMAGE

X. Zhang, C. K. Zhang, H. M. Li, Z. Luo
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In order to reduce road holes and discontinuities, and preserve better edge information, the algorithm first performs denoising preprocessing by means of median filtering to the pre-processed image.  ...  In order to further improve road extraction accuracy and reduce speckle and non-road area interference, the basic operations and combinations in mathematical morphology are used to optimize it.  ...  the color information.2.3 Road extraction combined with stroke width transformation and mean shiftHigh-resolution remote sensing images always have "almost" homogenous elongated regions of "more or less  ... 
doi:10.5194/isprs-archives-xlii-3-w10-671-2020 fatcat:bnsl5nicdrdizfwqwwvnaduiwi

A COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISH

Thiruvangadan
2013 Journal of Computer Science  
In the region model method, the image object is extracted from the histogram of specific parts which is same to the kind of a Gaussian-combination model.  ...  The main method involved in the detecting from the background is the foreground detection of the image.  ...  The most through way to find silhouettes would be to detect edges in the color buffer, detecting color discontinuous in the image buffer.  ... 
doi:10.3844/jcssp.2013.1427.1434 fatcat:7etu2it625czzcmub7bh4dju54

NONPARAMETRIC TEXTURE ANALYSIS WITH COMPLEMENTARY SPATIAL OPERATORS [chapter]

MATTI PIETIKÄINEN, TIMO OJALA
2000 Series in Machine Perception and Artificial Intelligence  
to provide complementary information about the strurctural and stochastic properties of image texture.  ...  Recently, we have developed a nonparametric approach to texture analysis, in which the distributions of simple texture measures based on local binary patterns and signed gray level differences are used  ...  Acknowledgements The financial support provided by the Academy of Finland and the Technology Development Center is gratefully acknowledged.  ... 
doi:10.1142/9789812792495_0001 fatcat:ama6wwynprhutk3tuoffzqexou

Region-based Nonparametric Model for Interactive Image Segmentation

Dan Wang, Guoqing Hu, Qianbo Liu, Chengzhi Lyu, Md Mojahidul Islam
2019 IEEE Access  
Experimental results show that the proposed method can segment images efficiently and accurately with fewer user inputs.  ...  The data term and the smooth term are then performed together in Conditional Random Fields (CRFs) as a fine-tuning of the results.  ...  We use both color information and position information to define the edge weight between region k and region q in layer t.  ... 
doi:10.1109/access.2019.2933876 fatcat:cg7gdbfu5nb7ddj7zvjfkkpwse

SHADOW DETECTION USING COLOR AND EDGE INFORMATION

Golchin
2013 Journal of Computer Science  
In this article a shadow detection method using both color and edge information is presented.  ...  In addition using the hue difference of foreground and background is proposed. Furthermore, edge information is applied separately and the results are combined using a Boolean operator.  ...  The extended method is based on the extracting shadow pixels from a combination of color information and edge information techniques.  ... 
doi:10.3844/jcssp.2013.1575.1588 fatcat:u75tuqbrmzesragz7ntr3mg454

Auto Crop and Recognition for Document Detection Based on its Contents

2017 Iraqi Journal of Science  
An Auto Crop method is used for detection and extraction signature, logo and stamp from the document image.  ...  This method improves the performance of security system based on signature, logo and stamp images as well as it is extracted images from the original document image and keeping the content information  ...  Usually, ROI is extracted through segmentation methods like threshold, edge detection and morphological operation.  ... 
doi:10.24996/ijs.2017.58.1c.19 fatcat:v5ljjwv2iremnko4xfg5es6vva
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