Twitter population sample bias and its impact on predictive outcomes: a case study on elections
In the past years a lot of effort has been spent analyzing online social network data to
understand how the world reality is reflected in the" virtual" world. Twitter is by far the …
understand how the world reality is reflected in the" virtual" world. Twitter is by far the …
Optimal threshold selection for tomogram segmentation by projection distance minimization
Grey value thresholding is a segmentation technique commonly applied to tomographic
image reconstructions. Many procedures have been proposed to optimally select the grey …
image reconstructions. Many procedures have been proposed to optimally select the grey …
An efficient algorithm for retinal blood vessel segmentation using h-maxima transform and multilevel thresholding
Retinal blood vessel detection and analysis play vital roles in early diagnosis and
prevention of several diseases, such as hypertension, diabetes, arteriosclerosis …
prevention of several diseases, such as hypertension, diabetes, arteriosclerosis …
New comparative approach to multi-level thresholding: chaotically initialized adaptive meta-heuristic optimization methods
One method aimed at enhancing the performance of meta-heuristic optimization techniques
is the incorporation of chaotic systems. Instead of irregular distributions in the search space …
is the incorporation of chaotic systems. Instead of irregular distributions in the search space …
Multiple-region segmentation without supervision by adaptive global maximum clustering
S Kim, M Kang - IEEE Transactions on Image Processing, 2011 - ieeexplore.ieee.org
In this paper, we propose a new method of segmenting an image into several sets of pixels
with similar intensity values called regions. A multiple-region segmentation problem is …
with similar intensity values called regions. A multiple-region segmentation problem is …
New results on efficient optimal multilevel image thresholding
Image thresholding is one of the most common image processing operations, since almost
all image processing schemes need some sort of separation of the pixels into different …
all image processing schemes need some sort of separation of the pixels into different …
An automated blood vessel extraction algorithm in fundus images
This paper focuses on the extraction of retinal blood vessels which play vital roles in early
diagnosis and prevention of several diseases, such as hypertension, diabetes …
diagnosis and prevention of several diseases, such as hypertension, diabetes …
[PDF][PDF] Improving watershed algorithm with a histogram driven methodology and implementation of the system on a virtex 5 platform
NS Zghal, DS Masmoudi - International Journal of Computer …, 2010 - academia.edu
Watershed algorithm as was introduced by Vincent and Soille is a segmentation algorithm
based on the inundation process of the image gradient which is observed as a relief. It aims …
based on the inundation process of the image gradient which is observed as a relief. It aims …
Optimal threshold selection for tomogram segmentation by reprojection of the reconstructed image
Grey value thresholding is a segmentation technique commonly applied to tomographic
image reconstructions. Many procedures have been proposed to optimally select the grey …
image reconstructions. Many procedures have been proposed to optimally select the grey …
Çoklu imge eşikleme problemlerinde metasezgisel algoritmaların performans analizi
G Pekdemir - 2012 - acikerisim.selcuk.edu.tr
Özet İmge bölütleme, bir imgeyi birbiriyle örtüşmeyen alt imge gruplarına ayırma işlemidir.
Çok seviyeli imge eşikleme, en popüler imge bölütleme tekniklerinden biridir ve sıklıkla …
Çok seviyeli imge eşikleme, en popüler imge bölütleme tekniklerinden biridir ve sıklıkla …