NTU Journal of Pure Sciences

Volume: 1

Issue: 1

Publication Year: 2021

Publication Date: December 2021

Abstract

The importance of the medical images lies in diagnosing the disease and its degree and giving the appropriate treatment. The aim of present study is to detect the edges of colored medical images by separating their color channels into three channels, determining the edges of each channel by a Canny operator for each color channel and merging the resulting edges to get the best edge. The quality of each edge has been calculated by using statistical measurements and then compared the results of the proposed model to study the effect of the proposed model. Results gave high accuracy by enhancement in the
medical image edge which is useful in image optimization for different applications

Keywords

canny operator find the edges Image Quality Metrics medical image splitting color channels

Abstract.Celiac disease (CD) is an immunologically-mediated disorder characterized by duodenal mucosa villi atrophy. Iron and zinc absorption is usually reduced in celiac patients making every kind of oral treatment unhelpful because of malasorption. The present review study aimed to evaluate the level of some trace elements that have important functions in the human body in celiac patients who consume gluten and abstain from consummting it, and to compare them with healthy ones, and to see the benefit of the gluten free diet. Serum iron (Fe+2) and zinc (Zn+2) levels were lower in patient with celiac disease.

NTU Journal of Pure Sciences

Articles in This Issue

A Hybrid Technique to Detect the Edges of Medical Images by Separating Color Channels

Abstract

Keywords

Evaluation of serum level of trace elements (iron, zinc ) in patients with celiac disease (Review study)

Abstract

Keywords