november 2, 19981 midterm grade distribution 100 2 90-99 7 80-89 10 70-79 4 60-69 4 50-59 6 40-49 1
TRANSCRIPT
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November 2, 1998 1
MIDTERM GRADE DISTRIBUTION
100 2
90-99 7
80-89 10
70-79 4
60-69 4
50-59 6
40-49 1
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November 2, 1998 2
DILATION AND EROSION
EULER # = # CONNECTED COMPONENTS - # HOLES
CONNECTEDCOMPONENTS HOLES
EROSION INCREASES/ DECREASES DECREASES
DILATION DECREASES DECREASES/ INCREASES
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November 2, 1998 3
FINAL EXAMTues. Dec. 8 (Tentative)
FINAL PROJECTDue Wed. Dec. 2
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November 2, 1998 4
FINAL PROJECT(Pick one)
• Finding Medial Axis skeletons
• Object Recognition
• Texture Segmentation
• Simulate Shape From Reflectance
• Relaxation Labeling
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November 2, 1998 5
CLASS LECTURE TOPICS
• Mon. Nov. 2: Texture
• Tues. Nov. 3: Photometric Stereo
• Wed. Nov. 4: Shape From Shading
• Mon. Nov. 9: Motion and Optic Flow
• Tues./Wed. Nov. 10, 11: Color Science
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November 2, 1998 6
TEXTURE
REGULAR
STATISTICAL ISOTROPIC
STATISTICAL ANISOTROPIC
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November 2, 1998 7
Color Edges
• Color Edges in 2 or more bands may always have non-zero first order variation in all image directions at an edge point.
• Edge strengths arise from the 2 eigenvalues of a 2x2 symmetric matrix.
• The corresponding eigenvectors are the respective edge directions.
• Color Canny Edges arise from the first order variation of the largest eigenvalue along the direction of the respective eigenvector
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November 2, 1998 8
TOPIC REVIEW
• WEEK 1-2– Geometric Models– Illumination models– Basic Reflectance models– Basic Image Processing Transformations
• Discrete Convolution
• Gamma Correction
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November 2, 1998 9
TOPIC REVIEW
• WEEK 3– Image File formats– Image compression– Edge Detection
• First Order Edge Detection
• Second Order Edge Detection
• Mexican Hat Filter
• Canny Edge Detection
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November 2, 1998 10
TOPIC REVIEW
• WEEK 4-5– Iterative algorithms on images– Template Matching– Hough transform– Generalized Hough Transform– Grey Level Histrograms– Mathematical Morphology
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November 2, 1998 11
TOPIC REVIEW
• WEEK 6-7– Image Formation
• Perspective Projection
• Orthographic Projection
– Thin Lens Optics– Very Basic Radiometry– Stereo Imaging
• 2-D View
• 3-D View … Epipolar Geometry