Comparison of Based on Histogram Equalization Techniques by Using Normalization in Thoracic Computed Tomography

• 영문명: 흉부 컴퓨터 단층 촬영에서 정규화를 사용한 다양한 히스토그램 평준화 기법을 비교
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 이영준(Young-Jun Lee) 민정환(Jung-Whan Min)
• 간행물 정보: 『방사선기술과학』방사선기술과학 제44권 제5호, 473~480쪽, 전체 8쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2021.10.30

영문 초록

This study was purpose to method that applies for improving the image quality in CT and X-ray scan, especially in the lung region. Also, we researched the parameters of the image before and after applying for Histogram Equalization (HE) such as mean, median values in the histogram. These techniques are mainly used for all type of medical images such as for Chest X-ray, Low-Dose Computed Tomography (CT). These are also used to intensify tiny anatomies like vessels, lung nodules, airways and pulmonary fissures. The proposed techniques consist of two main steps using the MATLAB software (R2021a). First, the technique should apply for the process of normalization for improving the basic image more correctly. In the next, the technique actively rearranges the intensity of the image contrast. Second, the Contrast Limited Adaptive Histogram Equalization (CLAHE) method was used for enhancing small details, textures and local contrast of the image. As a result, this paper shows the modern and improved techniques of HE and some advantages of the technique on the traditional HE. Therefore, this paper concludes that various techniques related to the HE can be helpful for many processes, especially image pre-processing for Machine Learning (ML), Deep Learning (DL).

목차

Ⅰ. INTRODUCTION

Ⅱ. METHODOLOGY

Ⅲ. RESULT

Ⅳ. DISCUSSION

Ⅴ. CONCLUSION

키워드

의료 영상 처리 히스토그램 평준화 대조도 제한 히스토그램 평준화 컴퓨터 단층 촬영 흉부 위치잡이 영상 Medical Image Processing Histogram Equalization Contrast Limited Histogram Adaptive Equalization CT Thoracic Scout