arrow
Return

Snakuscules

delete2008-04-01
delete39
delete
OA
AI
P
P. Thévenaz *
M
Michaël Unser
DOI:10.1109/TIP.2007.914742delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
A snakuscule (a minuscule snake) is the simplest active contour that we were able to design while keeping the quintessence of traditional snakes: an energy term governed by the data, and a regularization term. Our construction is an area-based snake, as opposed to curve-based snakes. It is parameterized by just two points, thus further easing requirements on the optimizer. Despite their ultimate simplicity, snakuscules retain enough versatility to be employed for solving various problems such as cell counting and segmentation of approximately circular features. In this paper, we detail the design process of a snakuscule and illustrate its usefulness through practical examples. We claim that our didactic intentions are well served by the simplicity of snakuscules.
Keywords:
curve fitting
geometric modeling
image region analysis
image shape analysis
object detection
parameter estimation
position measurement
size measurement
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

S
swiss federal institutes of technology domain
Scholars:
9.0W
Papers: 8.0W
Citations: 163