Staphylococcus Bacteria Images Edge Detection Using Fuzzy Inference System

Staphylococcus Bacteria is a gram-positive, round-shaped bacterium that is a member of the Firmicutes, and is frequently found in the nose, respiratory tract, and on the skin. It is often positive for catalase and nitrate reduction and is a facultative anaerobe that can grow without the need for oxygen. Edge detection includes a variety of mathematical methods that aim at identifying points in a digital image at which the image brightness changes sharply or, more formally, has discontinuities. The purpose of detecting sharp changes in image brightness is to capture important events and changes in properties of the world. The main goal of this paper to detect Staphylococcus Bacteria image edges using fuzzy inference system. In the first step Staphylococcus Bacteria RGB images converted to grayscale. In the second step the input images are converted from uint8 class to double class. In the third step, fuzzy inference system is defined with two inputs. Fuzzy inference system rules and membership function are applied on these two inputs. The outputwith black pixels indicatesareas with edge and the output with white pixels indicate areas without edge

کلیدواژه ها:

Staphylococcus Bacteria ، Edge Detection ، Fuzzy inference system