facial skin segmentation using bacterial foraging optimization algorithm

Facial Skin Segmentation Using Bacterial Foraging Optimization Algorithm

Nowadays, analyzing human facial image has gained an ever-increasing importance due to its various applications. Image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. Among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness, and high precision...

Image Segmentation Using Revised Bacterial Foraging Optimization Algorithm

In digital image processing, image segmentation is the most important task. This paper provides an faithful image segmentation algorithm with biologically inspired technique Bacterial Foraging Optimization (BFO) for different images with different size.. The methodology of this paper is to separate R G and B planes of input image and then Revised Bacterial Foraging Optimization Algorithm (RBFOA...

Image Segmentation using Improved Bacterial Foraging Algorithm

Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application dom...

Watermarking Algorithm using Bacterial Foraging Optimization

The rapid increase of digitized media because of the proliferation of networked multimedia has created many issues like related to copyright protection, easily copying and transmitting the digital data. This has created the need for various techniques which helps to protect the digital media over the internet. Digital watermarking is one of the solutions. Digital watermarking is a technique whi...

Image Segmentation Using RGB Decomposition and Modified Bacterial Foraging Optimization

MR Brain Image Segmentation using Bacteria Foraging Optimization Algorithm

-The most important task in digital image processing is image segmentation. This paper put forward an unique image segmentation algorithm that make use of a Markov Random Field (MRF) hybrid with biologically inspired technique Bacteria Foraging Optimization Algorithm (BFOA) for Brain Magnetic Resonance Images The proposed new algorithm works on the image pixel data and a region/neighborhood map...