Color Image Segmentation using CIELab Color Space using Ant Colony Optimization
نویسندگان
چکیده
منابع مشابه
Color Image Segmentation using CIELab Color Space using Ant Colony Optimization
This paper proposes an approach for the segmentation of color images using CIELab color space and Ant based clustering. Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The objective of segmentation is to change the image into meaningful form that is easier to analyze. This paper elaborat...
متن کاملRobust Potato Color Image Segmentation using Adaptive Fuzzy Inference System
Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...
متن کاملGrayscale Image Segmentation Using Color Space
A novel approach for segmentation of grayscale images, which are color scene originally, is proposed. Many algorithms have been elaborated for a grayscale image segmentation. All those approaches have been discussed in a luminance space, because it has been considered that grayscale images do not have any color information. However, a luminance value has color information as a set of correspond...
متن کاملCIELAB Color Space based High Resolution Satellite Image Segmentation using Modified Fuzzy C-Means Clustering
This paper presented a novel approach for the segmentation of high resolution satellite images using the spatial information incorporated modified fuzzy c-means clustering algorithm. The images after preprocessing and geo referencing, the satellite images are available in RGB color space. In this device dependent and non uniform color space, the intensity and color information are mixed and als...
متن کاملComparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation
Skin color is a simple but powerful pixel based feature. Skin color has proven to be a useful and sturdy cue for face detection, localization and tracking, hand detection, etc. Skin color is a useful means for human face detection. In this paper, we propose two color spaces YCbCr and CIELab and compare the results of both color space. Analyze the efficient method for skin color segmentation und...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2011
ISSN: 0975-8887
DOI: 10.5120/3590-4978