Raw Raw 256 X 256 Get File Namename
- Slides: 26
Raw파일 입력 *. Raw 256 X 256 이미지 입력 Get. File. Name(name, "Enter test image name : "); Get. Size(&width, &height); orgimg = (int**)Imalloc 2(width, height); outimg = (int**)Imalloc 2(width, height); Read. Image(name, orgimg, width, height);
히스토그램평활화 void Histogram. Equalization(int **orgimg, int **outimg, int width, int height); 원본 이미지 평활화 후 이미지
외곽선검출(Edge Detection) void Edge. Detection(int **orgimg, int **outimg, int width, int height); Sobel방법 Robert방법
외곽선검출(Edge Detection) void Edge. Detection(int **orgimg, int **outimg, int width, int height); Prewitt
외곽선검출(Edge Detection) void Edge. Detection(int **orgimg, int **outimg, int width, int height); 차연산자방법
필터링(Median. Filter) void Median. Filter(int **orgimg, int **outimg, int width, int height); 평활화 한 이미지 필터링 후 이미지
외곽선검출(Edge Detection) void Edge. Detection(int **orgimg, int **outimg, int width, int height); 차연산자방법 Robert방법 필터링 후 검출시 외곽선이 사라지는 문제 발생
숫자 인식 기술 ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ ⑩ ⑪ 패턴 인식(pattern recognition) 특징 추출(feature extraction) 다양성(diversity) 학습(learning) 기억(memory) 분산 탐지(distributed detection) 자체 조절(self-regulation) 역치 메커니즘(threshold mechanism) 공동 자극(co-stimulation) 역동적 방어기전(dynamic protection) 확률적 탐지(probabilistic detection)
기계학습 • • 신경망 (Neural Network), 데이타마이닝 (Data Mining), 의사결정 트리 (Decision Tree), 유전알고리즘 (Genetic Algorithm), 사례기반 추론 (Case Based Reasoning), 패턴 인식 (Pattern Recognition), 강화 학습 (Reinforcement learning)
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