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영상처리 실습 #4

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  1. 영상처리실습 #4 Histogram 연산 [ Histogram 대화상자 만들기 ]

  2. Histogram 대화상자만들기 2 3 1

  3. Histogram 대화상자만들기 1 Click 2

  4. Histogram 대화상자만들기

  5. Histogram 대화상자만들기 Drag

  6. Histogram 대화상자만들기 1 2 Drag Click

  7. Histogram 대화상자만들기 3 1 2 Click

  8. Histogram 대화상자만들기 1 2 Click

  9. Histogram 대화상자만들기 2 1

  10. Histogram 대화상자만들기 2 1

  11. Histogram 대화상자만들기 1 2 1 3

  12. Histogram 대화상자만들기 4 1 2 m_ctrlHistogram 3

  13. Histogram 대화상자만들기

  14. Histogram 대화상자만들기 Double Click

  15. Histogram 대화상자만들기 CxImage img, unsigned int x, y; m_nMaxHistogram = 0; // 히스토그램 초기화 for (x=0; x<256; x++) m_pHistogram[x] = 0; // 히스토그램 구하기 for (y=0; y<img.GetHeight(); y++) for (x=0; x<img.GetWidth(); x++) m_pHistogram[img.GetPixelGray(x,y)]++; // 히스토그램 최대값 구하기 for (x=0; x<256; x++) if (m_pHistogram[x] > m_nMaxHistogram) m_nMaxHistogram = m_pHistogram[x];

  16. Histogram 대화상자만들기 CxImage img, 추가 Double Click unsigned intm_pHistogram[256]; unsigned intm_nMaxHistogram;

  17. Histogram 대화상자만들기

  18. Histogram 대화상자만들기 1 4 2 5 3

  19. Histogram 대화상자만들기 CRect win_rect; // 0 점 설정 : 픽쳐컨트롤 왼쪽 아래 m_ctrlHistogram.GetWindowRect(&win_rect); ScreenToClient(&win_rect); dc.SetViewportOrg(win_rect.left, win_rect.bottom-1); // 좌표 설정 dc.SetMapMode(MM_ANISOTROPIC); dc.SetWindowExt(256, m_nMaxHistogram+1); dc.SetViewportExt(win_rect.Width(), win_rect.Height()); // 히스토그램 그리기 for (int i=0; i<256; i++) { dc.MoveTo(i,0); dc.LineTo(i, -m_pHistogram[i]); }

  20. Histogram 대화상자만들기 3 2 4 5 1

  21. Histogram 대화상자만들기 1 2 Click

  22. Histogram 대화상자만들기 1 4 3 5 2

  23. Histogram 대화상자만들기 CDlgHistogramdlg(*m_pImage); dlg.DoModal();

  24. Histogram 대화상자만들기 맨위로 스크롤

  25. Histogram 대화상자만들기 #include "DlgHistogram.h"

  26. Histogram 대화상자 실행

  27. 영상처리실습 #4 Histogram 연산 [ Histogram Equalization ]

  28. Histogram Equalization 2 1 4 3

  29. Histogram Equalization

  30. Histogram Equalization 총 픽셀 수

  31. Histogram Equalization int x, y; int i, nTemp; double sum, pixel_Number; /* variable used to increment sum of hist */ double histogram[256]; /* image histogram */ double sum_hist[256]; /* sum of histogram elements */ double scale_factor; /* normalized scale factor */ /* clear histogram to 0 */ for(i=0; i<256; i++) histogram[i]=0; /* calculate histogram */ for(x=0; x<m_pImage->GetHeight(); x++) { for(y=0; y<m_pImage->GetWidth(); y++) { histogram[m_pImage->GetPixelGray(x,y)]++; } }

  32. Histogram Equalization /* calculate normalized sum of hist */ sum = 0; pixel_Number = m_pImage->GetHeight() * m_pImage->GetWidth(); scale_factor = 255.0 /pixel_Number; for(i=0; i<256; i++) { sum += histogram[i]; sum_hist[i] = (sum * scale_factor) + 0.5; } /* transform image using new sum_hist as a LUT */ for(y=0; y<m_pImage->GetHeight(); y++) { for(x=0; x<m_pImage->GetWidth(); x++) { nTemp = sum_hist[m_pImage->GetPixelGray(x,y)]; m_pImage->SetPixelColor(x, y, RGB(nTemp,nTemp,nTemp)); } } UpdateAllViews(NULL);

  33. Histogram Equalization 결과 영상 Histogram Equalization 원본 영상 결과 영상

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