Gray-scale morphological 필터를 위한 병렬 처리기 = A Parallel Image Processing System for Gray-scale Morphological Filter

다국어 초록 (Multilingual Abstract)

Image processing is used to enhance digital images thus making further analysis easier, faster or more reliable. Morphology image processing is a local technique used to implement many spatial and gray-scale filters, and those algorithms are utilized in many machine vision systems because it is a very powerful image processing tool. Morphology analyses the images from the perspective of set theory and geometry. In the morphological aproach an image is analyzed i terms of some predetermained geometric shape known as structuring element.
In this thesis, an efficient parallel image processing system is proposed for gray-scale morphological filtersm, which is based on Park's multiple-access memory system. The proposed parallel image processing system is a fully synchronous SIMD computer with pipelined architecture.
It consists, mainly of a microprocessor and two PE modules which has four processing elements and five memory modules each. The microprocessor controls the activities of each PE, and establish the communication among the host and the PEs.
The function and performance of the proposed architecture is simulated and verified by CADENCE Verulog-XL, and we shows that the basic morphological operations such as dilation, erosion, and algorithms such as edge detection can be easily and effectively implemented with the proposed architecture. Experimental results indicate that the pipelined PE architecture is very powerful compared to general-purpose computer and previous parallel processor system.

목차 (Table of Contents)

• 목차
• 제1장 서론 = 1
• 제2장 다중접근 기억장치 및 병렬 처리기 = 4
• 2.1 관련 연구 및 동향 = 4
• 2.2 다중접근 기억장치 = 6
• 제3장 수리 형태론(MATHEMATICAL MORPHOLOGY) = 11
• 3.1 기본적인 형태론 연산자(MORPHOLOGICAL OPERATIONS) = 12
• 3.2 형태론 연산자를 이용한 영상 처리 = 16
• 제4장 병렬 영상 처리기 제안 = 18
• 4.1 제안된 병렬 영상 처리기 구조 = 18
• 4.2 설계 및 구현 = 20
• 4.3 설계 검증 및 시뮬레이션 = 32
• 제5장 성능 측정 및 비교 분석 = 37
• 5.1 성능 측정 결과 = 37
• 5.2 성능 비교 분석 = 40
• 제6장 결론 = 43
• 6.1 연구 결과 = 43
• 6.2 추가 보완 및 개선 사항 = 44
• 참고문헌 = 45