I. Human Vision vs Machine Vision

II. Aquisition, Processing and Analysis of Biological Images

III. Power Mac 8600/200 Image Processing Platform
A. Image Processing Software
    1. "Digital Micrograph" (Gatan)
    2. "N.I.H. Image 1.62"
    3. "Adobe Photoshop 4.0"
    4. "Image Processing Toolkit and Cookbook" (J. Russ)

IV. Image Processing Systems
A. Types of Images (optical, video, digital)
B. Image Aquisition and Processing Hardware
C. Image Sensors and Image Aquisition
    1. Analog to Digital Conversion
    2. Analog Adjustments (brightness & contrast)
    3. Dynamic Range (clipping)
    4. Image Averaging
D. Digital Images
    1. Binary Images (bit maps)
    2. Grey-Scale Images
        a. Image Histograms
        b. Depth, Resolution, Image Size
    3. Color Images
        a. Color Channels and Layers
        b. Hue, Saturation, Brightness
        c. Color Modes (RGB,CYMK, Lab, Indexed)
    4. Digital Image Storage
        a. Transportable Media (magnetic, magneto-optical, CD-ROM)
        b. Image File Formats (pict,tiff,gif,jpeg, etc)
        c. Compression Schemes

V. Image Processing
A. Image Math
    1. Correction of Defects
    2. Background Subtraction
B. Intensity Transformation Functions (filtering)
    1. Point Operations
        a. Look-Up Tables (LUTS)- grey scale & color
        b. brightness, contrast, contrast equalization
        c. Linear and Logarithmic Functions
    2. Spatial Convolution
        a. Spatial Frequency
        b. Convolution Masks (Kernals)
        c. Smoothing Filters
        d. Sharpening Filters & Edge Detectors
        e. Rank Filters (min., max., med.)
        f. Shadow Filters

VI. Image Analysis (quantitation)
A. Binary Images (bit maps)
B. Segmentation
    1. Discrimination and Thresholding
        a. Thresholding Processed Images
        b. Density Slicing
        c. Manual Outlining
C. Binary Image Editing
    1. Manual Editing
    2. Neighbor Operations
        a. erosion and dilation
        b. opening and closing
        3. skeletonization
    4. Boolean Logic Operators
D. Image Measurements
    1. Spatial Calibration
    2. Sampling Schemes
    3. Statistical Analysis
    4. Global Parameters

1. Number of Features (grain counting)

2. Size and Shape

3. Volume, Surface and Length Density

5. Feature Parameters

1. Intensity Profiles

2. Stereology-Principle of Delisse

i. Structural Parameters (spheres, ellipsoids)

ii. Effect of Section Thickness (Holme's effect_

VII. Three Dimensional Reconstruction
A. Stereomicroscopy
B. Serial Section Reconstruction
    1. Section Thickness
    2. Stains
    3. Computerized Serial Image Reconstruction

VIII. Human Vision (Dr. Granda)

IX. Principles of Light and Electron Microscopy

X. Fourier Analysis (Dr. Sharnoff)

XI. Convolution-Deconvolution (Dr. Czymmek)