Elements of Biomedical Image Processing BMI 731 Winter 2005 Kun Huang Department of Biomedical Informatics Ohio State University.

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Presentation transcript:

Elements of Biomedical Image Processing BMI 731 Winter 2005 Kun Huang Department of Biomedical Informatics Ohio State University

-Introduction to imaging processing -Mathematical background -Convolution and Fourier transform -Filtering -Image enhancement -Noise removal -Color correction and color space transform -Feature extraction -Edge, point, line (Hugh transform) -3-D reconstruction -Radon transform

-Image Processing : what should be done? -Image restoration and enhancement -Feature extraction -Pattern recognition

-Mathematical Background -Convolution -2-D convolution x2+8x9+15x4+7x7+14x5 +16x3+13x6+20x1+22x8 =575

-Mathematical Background -Fourier transform (FT) -Mathematics -2-D FT

-Mathematical Background -Fourier transform (FT) -Fast FT (FFT)

-Mathematical Background -Convolution and Fourier transform (FT)

-Mathematical Background -Filtering -High-pass filter, low-pass filter, band pass filter -Gradient filters

-Mathematical Background -Filtering -Wiener filter and deblurring

-Image Enhancement -Denoise -Averaging -Median filter 1/

-Image Enhancement -Denoise/restoration From Gonzalez, Woods, and Eddins

-Image Enhancement -Color and intensity adjustment -Histogram equalization

-Image Enhancement -Color space transform RGB -> HSV, HSL, YCbCr, … R = 64 G = 31 B = 62 R = 125 G = 80 B = 147 H = 199 S = 117 V = 147 H = 214 S = 132 V = 64

-Feature Extraction -Region detection – morphology manipulation -Dilate and Erode -Open -Erode  dilate -Small objects are removed -Close -Dilate  Erode -Holes are closed -Skeleton and perimeter

-Feature Extraction -Edge detection -Gradients -Canny edge detector -Gaussian smoothing -Gradients -Two thresholds -Thinning

-Feature Extraction -Point detection -Harris detector x

-Feature Extraction -Radon transform -Straight line detection -Hugh transform  y  y

-Feature Extraction -Straight line detection -Hugh transform From Gonzalez, Woods, and Eddins

-2-D/3-D reconstruction -Radon/inverse radon transforms and backprojection

-Reference -Digital Image Processing using Matlab By R.C.Gonzalez, R.E.Woods, and S.L.Eddins Published by Printice-Hall, 2004