Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Active contour segmentation

4,355 views

Published on

Learn about Active contour segmentation in MATLAB.
A simple and lucid way to understand image segmentation using examples with MATLAB code.

Published in: Education

Active contour segmentation

  1. 1. Image Segmentation Active Contours By:- Abhishek Tiwari For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  2. 2. Introduction  Active contours, also known as snakes, is a framework for getting object outline contour  The framework minimizes an energy associated to the current contour as a sum of internal and external energies  External energy expression is derived such that it is minimum at object boundary  Internal energy regulates the shape of contour, controlling its curvature, shape regularity, etc.  More energy terms can be introduced as per user application such as initializing multiple snakes and defining attraction energy between them, etc. For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  3. 3. Advantages & Limitations  Advantages of snakes  Autonomous and self-adapting in their search for minimal energy  Can track moving objects in temporal as well as spatial direction  Custom energies can be defined to enhance contour evolution  Limitations of snakes  Can get stuck in local minima states  Can miss minute features in the process of minimizing whole contour energy  May require higher computation time For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  4. 4. Contour Evolution Example For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  5. 5. Contour Evolution Example For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  6. 6. Our Implementation clear all; close all; clc; % Read an input image A = imread('coins1.jpg'); % Convert the image to grayscale A = rgb2gray(A); % Generate mask for active contour initialization mask = zeros(size(A)); mask(10:end-10,10:end-10) = 1; % Segment the image using active contour method bw = activecontour(A, mask, 300); % Display original and segmented images figure, subplot(1, 2, 1), imshow(A), title('Original image'); subplot(1, 2, 2), imshow(bw), title('Segmented image');
  7. 7. Results For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB
  8. 8. Thank You For my complete course on Image processing using MATLAB , visit https://www.udemy.com/matlabipt/?couponCode=PROMO_MATLAB

×