'Edge pixels' presentation slideshows

Computer and Robot Vision I

Computer and Robot Vision I. Chapter 11 Arc Extraction and Segmentation. Presented by: ??? d06922037@ntu.edu.tw ???????? ??. 11.1 Introduction. In some image sets, lines, curves, and circular arcs are more useful than regions or helpful in addition to regions. object recognition

1.22k views • 121 slides

Lecture 16 Image Segmentation

Lecture 16 Image Segmentation. The basic concepts of segmentation Point, line, edge detection Thresh holding Region-based segmentation Segmentation with Matlab. What is segmentation. What is segmentation

673 views • 66 slides

CRUSH

CRUSH. OPTIONS. IMAGES. The Submillimeter Challenge. @350 um Atmospheric Background is 10 7 times brighter than faint galaxies. Analogous to Observing a ~16 Magnitude star at daytime!. The Atmospheric Power Spectrum (5 January 2003). Strong 1/f characteristic.

628 views • 43 slides

Filtering and Edge Detection

471 views • 36 slides

Edge Based Segmentation

Edge Based Segmentation. Xinyu Chang. Outline. Introduction Canny Edge detector Edge Relaxation Border Tracing. Introduction.

910 views • 20 slides

Problems

343 views • 18 slides

ROC Analysis

ROC Analysis. Jeremy Wyatt Thanks to Gavin Brown. Evaluating vision algorithms. You have designed a new edge detection technique. You give it to me, and I try it on my image dataset where the task is to predict whether the scene contains a chair or not.

191 views • 10 slides

Basic Edge Detection

Basic Edge Detection. Edge detection, ideally, identifies all the lines that outline the objects in an image. Template for edge detection: Y_difference(x,y) = value(x,y) - value(x,y+1) This is equivalent to convolving with image with a 2x1 template 1 -1

226 views • 8 slides