Lecture-9 - Lecture-9 Region Segmentation Program-I (due...

Info iconThis preview shows pages 1–3. Sign up to view the full content.

View Full Document Right Arrow Icon
1 Lecture-9 Region Segmentation Program-I (due Feb 22) Implement Canny edge detector in C (either on PC, or on Unix). – Implement all steps of Canny • Compute gradient using first derivative of Gaussian masks • Perform non-maxima suppression using gradient direction • Hysteresis threshold non-maxima suppressed gradient magnitude – You should ask user to input image name (in pgm format), sigma for Gaussian, high and low thresholds – Display edge image Write a short report (1-2 pages): – Method used – Problems/difficulties – Analysis of results. Demonstrate your program in the vision lab (time to be fixed later) on un-seen images.
Background image of page 1

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

View Full DocumentRight Arrow Icon
2 Program-I (due Feb 22) Implement Haralick’s edge detector in C (either on PC, or on Unix). – Implement all steps of Canny • Fit a bi-cubic polynomial to a small neighborhood of a pixel (compute k s). • Compute second and third directional derivatives • Detect edges if the second directional derivative is zero, and third is negative – You should ask user to input image name (in pgm format) and
Background image of page 2
Image of page 3
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 06/12/2011 for the course CAP 5415 taught by Professor Staff during the Fall '08 term at University of Central Florida.

Page1 / 13

Lecture-9 - Lecture-9 Region Segmentation Program-I (due...

This preview shows document pages 1 - 3. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online