Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging

Yorulmaz, Onur; Oğuz, Oğuzhan; Akhan, Ece; Tuncel, Dönüş; Atalay, Rengül Çetin; Çetin, A. Enis

doi:10.1109/icip.2015.7351251

Cited by 2 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, after the gathering of the item data as indicated by the EAN 13 Standard [8], the information is sent back to the neuron network with Wifi, since this vision innovation offers a scope of mechanical correspondence conventions including Ethernet, USB, RS-232, advanced I/O, Ethernet/IP, PROFINET and Modbus TCP/IP.…”

Section: A Smart Administration Warehouse Of Product Module For Sale 1) Nearestmentioning

confidence: 99%

Smart Company System using Hybrid Nomenclature of Neural Network

Mohamed¹,

Ezzati²

2021

IJACSA

View full text Add to dashboard Cite

Physically, to manage the data related to the products, CRM, suppliers and Administration warehouse of the company makes us use a lot of human resources, and a time which deals with this, consequently the error rate increases and sometimes everything goes out of control, however, this work designed an intelligent overall management system (an intelligent neural network) which completes and up-date the product management network that presented in one of the previous articles. This new version assembles the three modules, in an order to automate tasks in the real time.

show abstract

Section: A Smart Administration Warehouse Of Product Module For Sale 1) Nearestmentioning

confidence: 99%

Smart Company System using Hybrid Nomenclature of Neural Network

Mohamed¹,

Ezzati²

2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…However, in [15], steps like key point detection, feature vector extraction and matching weren't implemented. In [16] 1-D SIFT algorithm is expanded to incorporate these steps and used for classification of Hematoxylin and Eosin (H&E) stained images.…”

Section: One Dimensional Scale Invariant Feature Transform (1-d Sift)mentioning

confidence: 99%

“…One Dimensional Scale Invariant Feature Transform (1-D SIFT) algorithm is implemented as a dimensional extension of SIFT algorithm and used in merging similar super pixels [15]. However, in [15], steps like key point detection, feature vector extraction and matching weren't implemented.…”

Section: One Dimensional Scale Invariant Feature Transform (1-d Sift)mentioning

confidence: 99%

“…It has been used in many pattern recognition , classification and tracking applications and proven to be a powerful method [11][12][13][14]. On the other hand,as a novel algorithm 1-D SIFT is first implemented for merging the similar super pixels [15]. Later in [16], it is extended with feature vector extraction process and shown that it can be used in classification applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Classification of Hematoxylin and Eosin Images Using Local Binary Patterns and 1-D SIFT Algorithm

Oğuz

Çetin

Atalay

2018

International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)

View full text Add to dashboard Cite

Abstract:In this paper, Hematoxylin and Eosin (H&E) stained liver images are classified by using both Local Binary Patterns (LBP) and one dimensional SIFT (1-D SIFT) algorithm. In order to obtain more meaningful features from the LBP histogram, a new feature vector extraction process is implemented for 1-D SIFT algorithm. LBP histograms are extracted with different approaches and concatenated with color histograms of the images. It is experimentally shown that,with the proposed approach, it possible to classify the H&E stained liver images with the accuracy of 88%.

show abstract

Multi-resolution super-pixels and their applications on fluorescent mesenchymal stem cells images using 1-D SIFT merging

Cited by 2 publications

References 16 publications

Smart Company System using Hybrid Nomenclature of Neural Network

Smart Company System using Hybrid Nomenclature of Neural Network

Classification of Hematoxylin and Eosin Images Using Local Binary Patterns and 1-D SIFT Algorithm

Contact Info

Product

Resources

About