MIDTERM GRADE DISTRIBUTION

1
MIDTERM GRADE DISTRIBUTION
100 2 90-99 7 80-89
10 70-79 4 60-69 4 50-59
6 40-49 1
2
DILATION AND EROSION
EULER CONNECTED COMPONENTS - HOLES
CONNECTED COMPONENTS HOLES
DILATION DECREASES
DECREASES/
INCREASES
EROSION INCREASES/
DECREASES DECREASES
3
FINAL EXAMTues. Dec. 8 (Tentative)FINAL
PROJECTDue Wed. Dec. 2
4
FINAL PROJECT(Pick one)

• Finding Medial Axis skeletons
• Object Recognition
• Texture Segmentation
• Simulate Shape From Reflectance
• Relaxation Labeling

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

6
TEXTURE
REGULAR
STATISTICAL ISOTROPIC
STATISTICAL ANISOTROPIC
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

8
TOPIC REVIEW

• WEEK 1-2
• Geometric Models
• Illumination models
• Basic Reflectance models
• Basic Image Processing Transformations
• Discrete Convolution
• Gamma Correction

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

10
TOPIC REVIEW

• WEEK 4-5
• Iterative algorithms on images
• Template Matching
• Hough transform
• Generalized Hough Transform
• Grey Level Histrograms
• Mathematical Morphology

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