نتایج جستجو برای: Hybrid image segmentation

تعداد نتایج: 596876  

Image segmentation is a fundamental step in many of image processing applications. In most cases the image’s pixels are clustered only based on the pixels’ intensity or color information and neither spatial nor neighborhood information of pixels is used in the clustering process. Considering the importance of including spatial information of pixels which improves the quality of image segmentati...

Journal: :journal of computer and robotics 0
ali borumandnia islamic azad university of south tehran jamshid shanbehzadeh tarbiat moalem

this paper presents, a hybrid method, low-resolution and high-resolution, for persian page segmentation. in the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. by high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifying...

Ali Broumandnia, Jamshid Shanbehzadeh

This paper presents, a hybrid method, low-resolution and high-resolution, for Persian page segmentation. In the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. By high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifyi...

Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently powerful voxel parsing mechanism for object distinction. In this work, we are proposing an ...

Journal: :iranian journal of medical physics 0
s. falahieh hamidpour m.sc. in biomedical engineering, tehran university of medical sciences, tehran, iran a. ahmadian associate professor, physics and biomedical engineering dept., tehran university of medical sciences, tehran, iran r. aghaeezadeh-zoroofi associate professor, electrical engineering and computer sciences dept., tehran university, tehran, iran m. a. shabani-samghabadi assistant professor, radiology dept., tehran university of medical sciences, tehran, iran

introduction: nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. one of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis.  materials and methods: in this work, a hybrid method based on geometric deformable models...

A. Ahmadian M. A. Shabani-samghabadi R. Aghaeezadeh-zoroofi S. Falahieh Hamidpour

Introduction: Nowadays virtual colonoscopy has become a reliable and efficient method of detecting primary stages of colon cancer such as polyp detection. One of the most important and crucial stages of virtual colonoscopy is colon segmentation because an incorrect segmentation may lead to a misdiagnosis.  Materials and Methods: In this work, a hybrid method based on Geometric Deformable Models...

Arman Rahmim Maryam Shirmohammad Mohammad Reza Ay, Saeed Sarkar

Introduction:  The  advent  of  dual-modality  PET/CT  scanners  has  revolutionized  clinical  oncology  by  improving lesion localization and facilitating treatment planning for radiotherapy. In addition, the use of  CT images for CT-based attenuation correction (CTAC) decreases the overall scanning time and creates  a noise-free  attenuation  map  (6map).  CTAC  methods  include  scaling,  s...

Journal: :journal of medical signals and sensors 0
hossein yousefi banaem hossein rabbani peyman adibi

barrett's mucosa is one of the most important diseases in upper gastrointestinal system that caused by gastroesophagus reflux. if left untreated, the disease will cause distal esophagus and gastric cardiaadenocarcinoma. the malignancy risk is very high in short segment barrett’s mucosa. therefore,lesion area segmentation can improve specialist decision for treatment. in this paper, we proposeda...

Journal: :رادار 0
علیرضا ابراهیمی نیا محمد صادق هل فروش حبیب اله دانیالی

sar (synthetic aperture radar) image enhancement and segmentation is purpose of this thesis. sar image segmentation is a primary step before steps such as classification and target recognition. the main obstacle in sar image segmentation is inherent speckle noise. speckle noise is a multiplicative and highly destructive noise which results to intensity inhomogeneity. hence common segmentation m...

Journal: :iranian journal of medical physics 0
maryam shirmohammad m.sc. student, department of medical physics and biomedical engineering and research centre for science and technology in medicine, tehran university of medical sciences, tehran, iran mohammad reza ay assistant professor, department of medical physics and biomedical engineering and research centre for science and technology in medicine, tehran university of medical sciences, tehran, iran saeed sarkar associate professor, department of medical physics and biomedical engineering and research centre for science and technology in medicine, tehran university of medical sciences, tehran, iran arman rahmim assistant professor, department of radiology, school of medicine, johns hopkins university, baltimore, md, usa

introduction:  the  advent  of  dual-modality  pet/ct  scanners  has  revolutionized  clinical  oncology  by  improving lesion localization and facilitating treatment planning for radiotherapy. in addition, the use of  ct images for ct-based attenuation correction (ctac) decreases the overall scanning time and creates  a noise-free  attenuation  map  (6map).  ctac  methods  include  scaling,  s...

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