scholarly journals Use of local image information in depth edge classification by humans and neural networks

2018 ◽  
Vol 18 (10) ◽  
pp. 128
Author(s):  
Krista Ehinger ◽  
Wendy Adams ◽  
Erich Graf ◽  
James Elder
Keyword(s):  
Neural Networks ◽  
Image Information ◽  
Edge Classification ◽  
Local Image

scholarly journals Active contour model for satellitale image combining local and global region based approach

2019 ◽  
Vol 15 (1) ◽  
pp. 247
Author(s):  
Mouri Hayat ◽  
Fizazi Hadria
Keyword(s):  
Active Contour ◽  
Active Contour Model ◽  
Initial Contour ◽  
Multiple Objects ◽  
Image Information ◽  
Contour Model ◽  
Global Image Information ◽  
Segmentation Of Images ◽  
Global And Local ◽  
Local Image

<p>Global and local image information is crucial for accurate segmentation of images with intensity inhomogeneity valuable minute details and multiple objects with various intensities. We propose a region-based active contour model which is able to utilize together local and global image information. The major contribution of this paper is to expand the LIF model which is includes only local image infofmation to a local and global model. The introduction of a new local and global signed pressure force function enables the extraction of accurate local and global image information and extracts multiple objects with several intensities. Several tests performed on some synthetic and real images indicate that our model is effective as well as less sensitivity to the initial contour location and less time compared with the related works. </p><p><em> </em></p>

scholarly journals Convolutional Neural Networks Learn Compact Local Image Descriptors

2013 ◽  
pp. 624-630 ◽  
Author(s):  
Christian Osendorfer ◽  
Justin Bayer ◽  
Sebastian Urban ◽  
Patrick van der Smagt
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Image Descriptors ◽  
Local Image

3-D Gradient and Curvature Measurement Using Local Image Information

1990 ◽  
Author(s):  
Harry S. Gallarda ◽  
Leonard H. Bieman ◽  
Kevin G. Harding
Keyword(s):  
Image Information ◽  
Curvature Measurement ◽  
Local Image

A Variation Level Set Formulation Local Based C-V Model for Medical Images Segmentation

2013 ◽  
Vol 756-759 ◽  
pp. 3696-3701
Author(s):  
Yan Yu ◽  
Chao Bing Huang ◽  
Ling Li
Keyword(s):  
Active Contour ◽  
Medical Images ◽  
Local Information ◽  
Image Information ◽  
Piecewise Constant ◽  
Contour Models ◽  
Segmentation Of Images ◽  
Level Set Formulation ◽  
Local Fitting ◽  
Local Image

Local image information is crucial for accurate segmentation of images with intensity inhomogeneity which usually occurs in medical images. However, image information in local region is not incorporated in popular region-based active contour models, such as piecewise constant models and piecewise smooth models. In this paper, a method which is able to use local information is proposed. The main point is the introduction of the local fitting information expressed by a kernel function which is crucial for segmentation. Our method is based on piecewise constant Chan-Vese model, and compare with different methods for several synthetic images and medical images.

Image Information Extraction Based on Spiking Neural Networks*

2011 ◽  
Vol 44 (1) ◽  
pp. 13618-13623 ◽  
Author(s):  
Xu Wang ◽  
Zhi-Qiang Cao ◽  
Long Cheng ◽  
Chao Zhou ◽  
Min Tan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Information Extraction ◽  
Spiking Neural Networks ◽  
Image Information
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