Matlab-Projects, Author at MATLAB PROJECTS

Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis

Posted on February 2, 2016 by Matlab-Projects |

Object-based image analysis (OBIA) has been widely adopted as a common paradigm to deal with very high-resolution remote sensing images. Nevertheless, OBIA methods strongly depend on the results of image segmentation.…

Improving Parameters Selection of a Seeded Region Growing Method for Multiband Image Segmentation

Posted on February 2, 2016 by Matlab-Projects |

In the last decade, Object Based Image Analysis (OBIA) has been accepted as an effective method for processing high spatial resolution multiband images. This image analysis method is an approach…

A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images

Posted on February 2, 2016 by Matlab-Projects |

Shape priors have been successfully used in challenging biomedical imaging problems. However when the shape distribution involves multiple shape classes, leading to a multimodal shape density, effective use of shape…

An efficient line segmentation approach for handwritten Bangla document image

Posted on February 2, 2016 by Matlab-Projects |

Text line segmentation plays a vital role in the overall performance of a document recognition system. In the literature, similar segmentation works for offline handwritten Bangla documents are rarely found. On the other hand,…

Segmentation Fusion for Building Detection Using Domain-Specific Information

Posted on February 2, 2016 by Matlab-Projects |

Segment-based classification is one of the popular approaches for object detection, where the performance of the classification task is sensitive to the accuracy of the output of the initialsegmentation. Majority…

Image segmentation and defect detection techniques using homogeneity

Posted on February 2, 2016 by Matlab-Projects |

This paper presents a survey on latest image segmentation techniques using homogeneity. Homogeneity is one of the most widely used approaches for image segmentation because of its robust characteristics for texture segmentation. The existing image segmentation approaches…

Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols

Posted on February 2, 2016 by Matlab-Projects |

The variation between images obtained with different scanners or different imaging protocols presents a major challenge in automatic segmentation of biomedical images. This variation especially hampers the application of otherwise successful supervised-learning…

Topology-Preserving Multi-label Image Segmentation

Posted on February 2, 2016 by Matlab-Projects |

Enforcing a specific topology in image segmentation is a very important but challenging problem, which has attracted much attention in the computer vision community. Most recent works on topology-constrained image segmentation focus on binary segmentation,…

Watershed Segmentation Algorithm Based on Morphological Gradient Reconstruction

Posted on February 2, 2016 by Matlab-Projects |

In order to overcome the problem of over-segmentation, a novel algorithm of watershed segmentationbased on morphological gradient reconstructing is proposed in this paper. In the algorithm, morphological gradient reconstruction is introduced…

Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy

Posted on February 2, 2016 by Matlab-Projects |

Segmentation of organs at risk (OAR) in male pelvis is critical for planning prostate cancer radiotherapy. We are interested in femoral heads, rectum and bladder segmentation in magnetic resonance imaging (MRI) and computed…