Abstract:
Image segmentation is the base of image 3D reconstruction. It is a critical step in image processing. Threshold segmentation is a simple and important method in grayscale...Show MoreMetadata
Abstract:
Image segmentation is the base of image 3D reconstruction. It is a critical step in image processing. Threshold segmentation is a simple and important method in grayscale image segmentation. Maximum entropy method is a common threshold segmentation method. This method only utilizes gray information. In order to adequately utilize spatial information of greyscale image, an improved 2D entropy segmentation method is proposed. This new method is called PSO-SDAIVE algorithm. In this new method, the computation of 2D entropy is improved. Otherwise, particle swarm optimization (PSO) algorithm is used to solve maximum of improved entropy. Maximum takes as the optimal image segmentation threshold. In this paper, two head CT images are segmented in experiment. Compare with other segmentation method. Experimental results show that this new method can quickly and accurately obtain segmentation threshold. Otherwise, this method has strong anti-noise capability and saves computation time.
Published in: 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology
Date of Conference: 24-26 November 2009
Date Added to IEEE Xplore: 31 December 2009
ISBN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Image Segmentation ,
- Grayscale Images ,
- Particle Swarm Optimization ,
- Computed Tomography ,
- Optimization Algorithm ,
- Spatial Information ,
- Segmentation Method ,
- Optimal Threshold ,
- Maximum Entropy ,
- Approximate Entropy ,
- Threshold Segmentation ,
- Image Processing Steps ,
- Maximum Entropy Method ,
- Direction Of Change ,
- Search Space ,
- Pairs Of Values ,
- Segmentation Results ,
- Information Entropy ,
- Pixels In Region ,
- Kinds Of Images ,
- Optimal Threshold Value ,
- Gray Histogram ,
- Pixel Gray Value ,
- Average Gray Value ,
- Noise Points ,
- Object Pixels ,
- Gray Value Of Image ,
- Original Particles ,
- Average Pixel Value ,
- Gray-level Values
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Image Segmentation ,
- Grayscale Images ,
- Particle Swarm Optimization ,
- Computed Tomography ,
- Optimization Algorithm ,
- Spatial Information ,
- Segmentation Method ,
- Optimal Threshold ,
- Maximum Entropy ,
- Approximate Entropy ,
- Threshold Segmentation ,
- Image Processing Steps ,
- Maximum Entropy Method ,
- Direction Of Change ,
- Search Space ,
- Pairs Of Values ,
- Segmentation Results ,
- Information Entropy ,
- Pixels In Region ,
- Kinds Of Images ,
- Optimal Threshold Value ,
- Gray Histogram ,
- Pixel Gray Value ,
- Average Gray Value ,
- Noise Points ,
- Object Pixels ,
- Gray Value Of Image ,
- Original Particles ,
- Average Pixel Value ,
- Gray-level Values
- Author Keywords