디지털 영상의 SNR을 고려한 템플리트 매칭 방법의 신뢰성 향상에 관한 연구 = A study on improving confidence of Template Matching Method considering SNR of Digital Image

다국어 초록 (Multilingual Abstract)

In the template matching, correlation coefficient has been frequently used to measure the similarity of gray-scale images. It is one of an important matching procedure to select a template of good quality which has influence on matching result. A template of good quality, which is generally distinguished by the naked eye, is not always successful in template matching experiment. To solve this problem, we introduce a SNR(signal-to-noise ratio) of template to compare templates each other and relates a SNR of template with correlation coefficient. From this compare templates each other and relates a SNR of tem plate with correlation coefficient. From this relation, we explain how to determine a threshold correlation coefficient that is to know whether a object exists or not and introduce method to measure a SNR of template. Subsequently, we show the fact that confidence of template matching method considering a SNR of template is improved.

목차 (Table of Contents)

• 1.서론
• 1.1 연구배경
• 1.2 연구 내용
• 2.본론
• 2.1 템플리트와 템플리트 매칭
• 2.2 상관계수와 템플리트의 SNR과의 관계
• 2.3 최고치 상관계수와 템플리트의 SNR과의 관계 실험
• 2.4 최고치 상관계수와 Threshold ρ12의 관계
• 2.5 이미지의 SNR 측정을 위한 방법
• 2.6 템플리트의 SNR 측정
• 3.실험 결과 및 고찰
• 4.결론 및 추후 과제
• 참고문헌