Analysis of Bilateral Asymmetry in Mammograms via Directional Filtering with Gabor Wavelets

This study is carried out in the Baya watershed in the eastern region of Côte d'Ivoire to highlight access to drinking water issue in the fratured areas of Côte d'Ivoire. It aims at mapping the groundwater reservoirs to optimize the future installment of new boreholes for a satisfactory success rate. For the methodological approach we use Landsat 7 satellite images to map fracture networks with the use of the directional filtering technique. The induced permeabilities from these fractures were calculated using Fanciss’s method. The multicriteria analysis and Hydrogeological Information System with Spatial Reference were adopted to map groundwater reservoirs. Structural mapping by remote sensing permitted the development of detailed fractures maps with more than 6,998 listed fractures responsible for the formation of fracture aquifers in the Baya watershed. The size of these fractures is spread over two orders of magnitude. The main orientations are NE-SO (N70-80), corresponding to the Eburnean orientations, E-O (N90-100) and NO-SE (N100-120), associated with the Liberian orientation. Induced permeabilities vary from 1.20.10-8 to 4.62.10-5 m/s with a regional average of about 5.32.10-6 m/s. The zones with strong induced permeabilities that coincide with those of high fracturing densities brought us to have five reservoirs in the basin, with two large reservoirs, two media and three small ones. This groundwater flows into the mainstream waters from two main directions.

Download Full-text

VOLUME BASED DTM GENERATION FROM VERY HIGH RESOLUTION PHOTOGRAMMETRIC DSMS

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xli-b3-83-2016 ◽

2016 ◽

Vol XLI-B3 ◽

pp. 83-90 ◽

Cited By ~ 5

Author(s):

B. Piltz ◽

S. Bayer ◽

A. M. Poznanska

Keyword(s):

Ground Surface ◽

Processing Parameters ◽

Data Sets ◽

Maximum Width ◽

Directional Filtering ◽

Very High Spatial Resolution ◽

Efficient Scheme ◽

Data Points ◽

Minimum Height ◽

Very High

In this paper we propose a new algorithm for digital terrain (DTM) model reconstruction from very high spatial resolution digital surface models (DSMs). It represents a combination of multi-directional filtering with a new metric which we call normalized volume above ground to create an above-ground mask containing buildings and elevated vegetation. This mask can be used to interpolate a ground-only DTM. The presented algorithm works fully automatically, requiring only the processing parameters minimum height and maximum width in metric units. Since slope and breaklines are not decisive criteria, low and smooth and even very extensive flat objects are recognized and masked. The algorithm was developed with the goal to generate the normalized DSM for automatic 3D building reconstruction and works reliably also in environments with distinct hillsides or terrace-shaped terrain where conventional methods would fail. A quantitative comparison with the ISPRS data sets Potsdam and Vaihingen show that 98-99% of all building data points are identified and can be removed, while enough ground data points (~66%) are kept to be able to reconstruct the ground surface. Additionally, we discuss the concept of size dependent height thresholds and present an efficient scheme for pyramidal processing of data sets reducing time complexity to linear to the number of pixels, O(WH).

Download Full-text

Quantification of trabecular bone mass and orientation using Gabor wavelets

Proceedings of the 2003 ACM symposium on Applied computing - SAC '03 ◽

10.1145/952532.952571 ◽

2003 ◽

Cited By ~ 3

Author(s):

Yongqing Xiang ◽

Vanessa Yingling ◽

Jonathan Silverberg ◽

Mitchell B. Schaffler ◽

Theodore Raphan

Keyword(s):

Bone Mass ◽

Trabecular Bone ◽

Gabor Wavelets ◽

Trabecular Bone Mass

Download Full-text

Saliency detection based on 2D log-gabor wavelets and center bias

Proceedings of the international conference on Multimedia - MM '10 ◽

10.1145/1873951.1874128 ◽

2010 ◽

Cited By ~ 5

Author(s):

Min Wang ◽

Jia Li ◽

Tiejun Huang ◽

Yonghong Tian ◽

Lingyu Duan ◽

...

Keyword(s):

Saliency Detection ◽

Gabor Wavelets ◽

Center Bias ◽

Log Gabor

Download Full-text

Recognition of Tire Tread Patterns Based on Gabor Wavelets and Support Vector Machine

Computational Collective Intelligence. Technologies and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16696-9_11 ◽

2010 ◽

pp. 92-101 ◽

Cited By ~ 2

Author(s):

Deng-Yuan Huang ◽

Wu-Chih Hu ◽

Ying-Wei Wang ◽

Ching-I Chen ◽

Chih-Hsiang Cheng

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Gabor Wavelets

Download Full-text

Pedestrian Attribute Recognition using Gabor Wavelet Layers

10.5121/csit.2021.111502 ◽

2021 ◽

Author(s):

Imran N. Junejo

Keyword(s):

Neural Network ◽

Public Spaces ◽

Convolution Neural Network ◽

Gabor Wavelet ◽

Gabor Wavelets ◽

Age Group ◽

Clothing Style ◽

Public Dataset ◽

Attribute Recognition ◽

Almost All

We address the problem of Pedestrian Attribute Recognition (PAR) in this paper. Owing to the presence of surveillance cameras in almost all outdoor and indoor public spaces, keeping and eye on pedestrian is a sought-after task with many useful applications. The problem entails recognizing attributes such as age-group, clothing style, accessories, footwear style etc. This is a multi-label problem and challenging even for human observers. We propose using a convolution neural network (CNN) with trainable Gabor wavelets (TGW) layers. The proposed layers are learnable and adapt to the dataset for a better recognition. The proposed multi-branch neural network is a mix of TGW and convolutional layers and we show its effectiveness on a public dataset.

Download Full-text