paper-with-me

홈 › Papers

Contrast Enhancement of Medical X-Ray Image Using Morphological Operators with Optimal Structuring Element

2019-05-21 · Rafsanjany Kushol, Md. Nishat Raihan, Md Sirajus Salekin, A. B. M. Ashikur Rahman

To guide surgical and medical treatment X-ray images have been used by physicians in every modern healthcare organization and hospitals. Doctor's evaluation process and disease identification in the area of skeletal system can be performed in a faster and efficient way with the help of X-ray imaging technique as they can depict bone structure painlessly. This paper presents an efficient contrast enhancement technique using morphological operators which will help to visualize important bone segments and soft tissues more clearly. Top-hat and Bottom-hat transform are utilized to enhance the image where gradient magnitude value is calculated for automatically selecting the structuring element (SE) size. Experimental evaluation on different x-ray imaging databases shows the effectiveness of our method which also produces comparatively better output against some existing image enhancement techniques.

📄 PDF Abstract BibTeX arXiv:1905.08545

Code (0)

등록된 구현이 없습니다.

Tasks

Image Enhancement

Similar Papers 제목 키워드 기반

Curvilinear Structure Enhancement by Multiscale Top-Hat Tensor in 2D/3D Images

2018-09-23 · Shuaa S. Alharbi, Cigdem Sazak, Carl J. Nelson, Boguslaw Obara

A wide range of biomedical applications requires enhancement, detection, quantification and modelling of curvilinear structures in 2D and 3D images. Curvilinear structure enhancement is a crucial step for further analysi…

Binary Multi Channel Morphological Neural Network

2022-04-19 · Theodore Aouad, Hugues Talbot

Neural networks and particularly Deep learning have been comparatively little studied from the theoretical point of view. Conversely, Mathematical Morphology is a discipline with solid theoretical foundations. We combine…

A Study of Morphological Filtering Using Graph and Hypergraphs

2015-07-25 · Keerthana S. Prakash, R. P. Prakash, V. P. Binu

Mathematical morphology (MM) helps to describe and analyze shapes using set theory. MM can be effectively applied to binary images which are treated as sets. Basic morphological operators defined can be used as an effect…

Thinning Algorithm Using Hypergraph Based Morphological Operators

2015-07-25 · R. P. Prakash, Keerthana S. Prakash, V. P. Binu

The object recognition is a complex problem in the image processing. Mathematical morphology is Shape oriented operations, that simplify image data, preserving their essential shape characteristics and eliminating irrele…

Object Recognition

Aesthetic-Driven Image Enhancement by Adversarial Learning

2017-07-17 · Yubin Deng, Chen Change Loy, Xiaoou Tang

We introduce EnhanceGAN, an adversarial learning based model that performs automatic image enhancement. Traditional image enhancement frameworks typically involve training models in a fully-supervised manner, which requi…

Image CroppingImage Enhancement