Image segmentation with a multilevel threshold using backtracking search optimization algorithm
نویسندگان
چکیده
منابع مشابه
Multilevel Threshold Based Gray Scale Image Segmentation using Cuckoo Search
Image Segmentation is a technique of partitioning the original image into some distinct classes. Many possible solutions may be available for segmenting an image into a certain number of classes, each one having different quality of segmentation. In our proposed method, multilevel thresholding technique has been used for image segmentation. A new approach of Cuckoo Search (CS) is used for selec...
متن کاملBilateral Teleoperation Systems Using Backtracking Search optimization Algorithm Based Iterative Learning Control
This paper deals with the application of Iterative Learning Control (ILC) to further improve the performance of teleoperation systems based on Smith predictor. The goal is to achieve robust stability and optimal transparency for these systems. The proposed control structure make the slave manipulator follow the master in spite of uncertainties in time delay in communication channel and model pa...
متن کاملIdol-Guided Backtracking Search Optimization Algorithm
This paper introduces a new variant of the Backtracking Search Optimization Algorithm (BSA) in order to improve the quality of the solutions found by the algorithm. The proposed algorithm is called Idol-Guided Backtracking Search Optimization Algorithm (IG-BSA): it uses the historical population defined in BSA to build and update a set of idols taken from several previous generations, and the c...
متن کاملOptimal Multilevel Threshold Selection for Gray Level Image Segmentation using SMS Algorithm
Image processing is one of the real research regions in the most recent four decades. Numerous researchers have contributed very great algorithms and reported outstanding results. In this paper, state of matter search optimization based multilevel thresholding is implemented for the segmentation of gray scale Images. Set of standard gray level images are considered for image segmentation. The o...
متن کاملDevelopment of a New Optimal Multilevel Thresholding Using Improved Particle Swarm Optimization Algorithm for Image Segmentation
Image thresholding is a very common image processing operation, since all image processing schemes need some sort of operation of the pixels into different classes. In order to determine thresholds, most methods analyze the histogram of the image. The optimal thresholds are often found by either minimizing or maximizing an objective function with respect to the values of the thresholds. In this...
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: Tikrit Journal of Pure Science
سال: 2020
ISSN: 2415-1726,1813-1662
DOI: 10.25130/j.v25i2.964