A Type II Fuzzy Entropy Based Multi-Level Image Thresholding Using Adaptive Plant Propagation Algorithm

08/23/2017
by   Sayan Nag, et al.
0

One of the most straightforward, direct and efficient approaches to Image Segmentation is Image Thresholding. Multi-level Image Thresholding is an essential viewpoint in many image processing and Pattern Recognition based real-time applications which can effectively and efficiently classify the pixels into various groups denoting multiple regions in an Image. Thresholding based Image Segmentation using fuzzy entropy combined with intelligent optimization approaches are commonly used direct methods to properly identify the thresholds so that they can be used to segment an Image accurately. In this paper a novel approach for multi-level image thresholding is proposed using Type II Fuzzy sets combined with Adaptive Plant Propagation Algorithm (APPA). Obtaining the optimal thresholds for an image by maximizing the entropy is extremely tedious and time consuming with increase in the number of thresholds. Hence, Adaptive Plant Propagation Algorithm (APPA), a memetic algorithm based on plant intelligence, is used for fast and efficient selection of optimal thresholds. This fact is reasonably justified by comparing the accuracy of the outcomes and computational time consumed by other modern state-of-the-art algorithms such as Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA) and Genetic Algorithm (GA).

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 7

page 8

10/18/2021

Color Image Segmentation Using Multi-Objective Swarm Optimizer and Multi-level Histogram Thresholding

Rapid developments in swarm intelligence optimizers and computer process...
02/23/2015

Shannon, Tsallis and Kaniadakis entropies in bi-level image thresholding

The maximum entropy principle is often used for bi-level or multi-level ...
05/22/2013

A novel automatic thresholding segmentation method with local adaptive thresholds

A novel method for segmenting bright objects from dark background for gr...
02/14/2015

Gray-Level Image Transitions Driven by Tsallis Entropic Index

The maximum entropy principle is largely used in thresholding and segmen...
07/08/2010

Multi-environment model estimation for motility analysis of Caenorhabditis Elegans

The nematode Caenorhabditis elegans is a well-known model organism used ...
07/17/2017

Speeding up the Köhler's method of contrast thresholding

Köhler's method is a useful multi-thresholding technique based on bounda...
09/17/2021

Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm

Segmentation is an essential requirement in medicine when digital images...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.