Corpus ID: 18286280

Color Image Segmentation using OTSU Method and Color Space

  title={Color Image Segmentation using OTSU Method and Color Space},
  author={D. Napoleon and R. Santhoshi and A. Shameena},
Color is one of the properties which add information to the images. This proposed work describes a color image segmentation method based on color space and Otsu Method. To realize an image, one needs to isolate the objects in it and have to find relation among them. The separation of objects is referred as image segmentation. The color supposed by human is a combination of three color stimuli such as red (R), green (G), and blue (B), which forms a color space. Many color models are used to… Expand
2 Citations
Detection techniques for melanoma diagnosis: A performance evaluation
Various diagnostic techniques such as Menzies scale method, Seven Point checklist, Asymmetry, Border, Color, Diameter, ABCD rule based method and Pattern Analysis method are presented for early diagnosis of cancer. Expand


Color Image Segmentation using CIELab Color Space using Ant Colony Optimization
A new approach by using CIELab color space and Ant based clustering for the segmentation of color images and results shows that number of clusters for the image with particular CMC distance also varies. Expand
Colour Based Image Segmentation Using L*A*B* Colour Space Based On Genetic Algorithm
In colour based image segmentation is made to overcome the problems encountered while segmenting an object in a complex scene background by using the colour of the image. After pre-processing, theExpand
Color image segmentation
  • Yining Deng, B. S. Manjunath, H. Shin
  • Mathematics, Computer Science
  • Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
  • 1999
In this work, a new approach to fully automatic color image segmentation, called JSEG, is presented, where colors in the image are quantized to several representing classes that can be used to differentiate regions in the photo, thus forming a class-map of the image. Expand
Robust analysis of feature spaces: color image segmentation
  • D. Comaniciu, P. Meer
  • Mathematics, Computer Science
  • Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1997
A general technique for the recovery of significant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric procedure for estimating density gradients.Expand
Color Image Segmentation: Two Different approaches
The purpose of this project is twofold: To ascertain the superiority of La’b’ color space over the RGB for segmentation in tune with natural perception, and to explore a segmentation technique: 1DExpand
A Study on Color Space Selection for Determining Image Segmentation Region Number
This paper experimentally investigates the process of choosing color space for determining a reasonable region number based on the BYY criterion and adopts the BYy model selection criterion to determine how many regions should be segmented on a given color image. Expand
Colour Based Image Segmentation Using K-Means Clustering
  • International Journal of Engineering Science and Technology Vol
  • 2010
Color Image Segmentation Based On Color and Texture properties
    Facial Image Segmentation Based On Mixed Colour Space ”