Abstract: Image segmentation is one of the most important steps in image analysis and has been a key problem in computer vision. The main aim of this process is to separate an image to several regions or parts which correlate strongly the interested objects. Snakes, or active contours, have been widely used to locate boundaries of image segmentation and computer vision. Problem associated with the existence of the local minima in the active contour energy function makes snakes have poor convergence in segmentation process; therefore, the poor convergence has limited applications. In this work, a fast minimization of snake model is used for an MRI knee image segmentation. This method provides a satisfied result. As a result, it is a good candidate for MRI image segmentation approach. In other words an improper initial contour can give inaccurate result.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
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Abstract: This paper aims at designing an automated system to monitor the bottle filling process in a beverage industry. The objectives of the proposed work are to (i) check whether the reused bottle is free from impurities before it is filled with beverage, (ii) check whether the bottle is filled with proper quantity of beverage. The proposed work is achieved using image processing techniques utilizing the LabVIEW platform without disturbing the high speed production line. The images of bottle are captured using a high frame rate smart camera which is transferred to PC for processing through RS232 port. LabVIEW is programmed to acquire the data and apply image processing algorithms and initiate necessary action like displaying the status of the bottle in the production line, diversion of bottle from the production line if it doesn’t satisfy the standards. All these activities need to be performed without disturbing the speed of the production line.

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-735
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