Image Segmentation
BEIJING INSTITUE OF TECHNOLOGY
Course: Pattern Recognition
TOPIC: IMAGE SEMGMETATION USING PATTERN RECOGNITION METHOD
Student: SOVATANA HOUR ID: 2820120039
Year: 2012-2013
Content
1. Introduction - Image pattern recognition ..............................................................................1 - Image segmentation .............................................................................. 2 2. Relative work to region-based approach on image segmentation 2.1 Feature extraction approach ........................................................................... 2 2.2 Classification approach and segmentation results .........................................4 2.2.1 Supervised classification .............................................5 2.2.2 Unsupervised classification .........................................6 3. Conclusion ...........................................................................................................12 4. References ............................................................................................................12
BEIJING INSTITUTE OF TECHNOLOGY
PATTERN RECOGNITION
I.
Introduction
Image pattern recognition is a representation of an important computer vision domain, consisting of classification of the patterns of a given image, based on various similarity criterions, whereas image segmentation is the subdivision an image into its constituent regions or objects, and consists of dividing the input image in a number of different objects called image segments or clusters, such that all the pixels from a segment have a common property called similarity criterion. General purpose image segmentation separates an image into homogeneous groups of connected pixels. One of the ultimate goals of image segmentation is the delineation of shapes of objects in images for purposes of object recognition and, eventually, image understanding. In generally, image segmentation algorithms are based on one of
Course: Pattern Recognition
TOPIC: IMAGE SEMGMETATION USING PATTERN RECOGNITION METHOD
Student: SOVATANA HOUR ID: 2820120039
Year: 2012-2013
Content
1. Introduction - Image pattern recognition ..............................................................................1 - Image segmentation .............................................................................. 2 2. Relative work to region-based approach on image segmentation 2.1 Feature extraction approach ........................................................................... 2 2.2 Classification approach and segmentation results .........................................4 2.2.1 Supervised classification .............................................5 2.2.2 Unsupervised classification .........................................6 3. Conclusion ...........................................................................................................12 4. References ............................................................................................................12
BEIJING INSTITUTE OF TECHNOLOGY
PATTERN RECOGNITION
I.
Introduction
Image pattern recognition is a representation of an important computer vision domain, consisting of classification of the patterns of a given image, based on various similarity criterions, whereas image segmentation is the subdivision an image into its constituent regions or objects, and consists of dividing the input image in a number of different objects called image segments or clusters, such that all the pixels from a segment have a common property called similarity criterion. General purpose image segmentation separates an image into homogeneous groups of connected pixels. One of the ultimate goals of image segmentation is the delineation of shapes of objects in images for purposes of object recognition and, eventually, image understanding. In generally, image segmentation algorithms are based on one of