Nano Fiber Images Thresholding based on Imperial Competitive Algorithm
نویسندگان
چکیده
منابع مشابه
MOEICA: Enhanced multi-objective optimization based on imperialist competitive algorithm
In this paper, a multi-objective enhanced imperialist competitive algorithm (MOEICA) is presented. The main structures of the original ICA are employed while some novel approaches are also developed. Other than the non-dominated sorting and crowding distance methods which are used as the main tools for comparing and ranking solutions, an auxiliary comparison approach called fuzzy possession is ...
متن کاملChange detection from satellite images based on optimal asymmetric thresholding the difference image
As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...
متن کاملMulti-level Image Thresholding Based on Hybrid Differential Evolution Algorithm. Application on Medical Images
Image thresholding is definitely one of themost popular segmentation approaches for extracting objects from the background, or for discriminating objects from objects that have distinct gray-levels. It is typically simple and computationally efficient. It is based on the assumption that the objects can be distinguished by their gray levels. The optimal threshold is the one that can separate dif...
متن کاملBlock Based Imperial Competitive Algorithm with Greedy Search for Traveling Salesman Problem
Imperial competitive algorithm (ICA) simulates a multi-agent algorithm. Each agent is like a kingdom has its country, and the strongest country in each agent is called imperialist, others are colony. Countries are competitive with imperialist which in the same kingdom by evolving. So this country will move in the search space to find better solutions with higher fitness to be a new imperialist....
متن کاملDesign and Implementation of Thresholding Algorithm based on MFR for Retinal Fundus Images
In this paper, the entropy of maximum filter response (MFR) is applied followed by normalization and thresholding for retinal fundus image is used. The performance of our proposed method has been assessed on 23 images representing the publicly available dataset; High-Resolution Fundus (HRF) Image Database.
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: 2014
ISSN: 0975-8887
DOI: 10.5120/17380-7916