# ch03a - Ch 3 Intensity Transformations • Overview •...

This preview shows pages 1–5. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Ch 3 - Intensity Transformations • Overview • Linear Map • Inverse Map • Thresholding • Windowing • Log Transformation • Power Law Transformation • Contrast Stretching • Intensity Slicing • Bit Plane Images • Conclusion Overview • Goal is to modify pixel intensity to improve the visibility of objects of interest in an image • General form of operation: For (int y = 0; y < Ydim, y++) For (int x = 0; x < Xdim; x++) Output[y][x] = Map( Input[y][x] ) • Different Map functions give different effects • Slope of curve determines enhancement effect Linear Map • A linear map function is used to compress or stretch the intensity range of pixels in an image • Typically used prior to data storage or display • Map(i) = A * i + B • Example: – Input range [a..b] – Output range [0..255] – Map(i) = 255 * (i – a) / (b – a) Linear Map • When the linear map function has A < 1 the output range is smaller input range • When pixels are stored in integers this results in quantization and loss of information • Example:...
View Full Document

{[ snackBarMessage ]}

### Page1 / 30

ch03a - Ch 3 Intensity Transformations • Overview •...

This preview shows document pages 1 - 5. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online