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1 Vladimir Botchko botchko@lut.fi Lecture 8. Representation and Description Lappeenranta University of Technology (Finland)
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2 Representation and Description n Representation schemes n Boundary descriptors n Regional descriptors: textures and moments n Morphology
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3 Representation and Description n Representation schemes n Boundary descriptors n Regional descriptors: textures and moments n Morphology
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4 Representation and Description n Representation schemes n Boundary descriptors n Regional descriptors: textures and moments n Morphology
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5 Some simple descriptors
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6 Textures. Cooccurrence matrix. n Original image (upper left) (skin, leaves, brick, stone), segmentation based on: conrast (upper right), homogeneity (lower left), standard deviation (lower right)
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7 Texture Fourier signatures for skin (top) and for leaves: (left), r(right).
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8 Texture Fourier signatures for brick (top) and stone: (left), r(right).
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9 Texture segmentation based on autoregression model n From top left to right bottom: an original image, AR model segmentation, smoothing (relaxation), Sobel edge detection, superposition of detected edges and an original image.
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10 The same for forest fire segmentation (the second image shows training regions)
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11 Moments
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12 Representation and Description n Representation schemes n Boundary descriptors n Regional descriptors: textures and moments n Morphology
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13 Morphology
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