Preferred Language
Articles
/
jcoeduw-887
Comparative Study of Image Denoising Using Wavelet Transforms and Optimal Threshold and Neighbouring Window
...Show More Authors

NeighShrink is an efficient image denoising algorithm based on the discrete wavelet
transform (DWT). Its disadvantage is to use a suboptimal universal threshold and identical
neighbouring window size in all wavelet subbands. Dengwen and Wengang proposed an
improved method, which can determine an optimal threshold and neighbouring window size
for every subband by the Stein’s unbiased risk estimate (SURE). Its denoising performance is
considerably superior to NeighShrink and also outperforms SURE-LET, which is an up-todate
denoising algorithm based on the SURE. In this paper different wavelet transform
families are used with this improved method, the results show that Haar wavelet has the
lowest performance among other wavelet functions. The system was implemented using
MATLAB R2010a. The average improvement in term of PSNR between Haar and other
wavelet functions is 1.37dB

View Publication Preview PDF
Quick Preview PDF
Publication Date
Tue Oct 01 2019
Journal Name
Biochem. Cell. Arch
MORPHOLOGICAL COMPARATIVE STUDY OF THE STOMACH IN THE FELIS CATUS (DOMESTIC CAT) AND SCIURUS CAROLINESIS (EASTERN GRAY SQURRIEL)
...Show More Authors

Preview PDF
Publication Date
Sat Jun 21 2025
Journal Name
Mustansiria Dental Journal
Soft tissue measurements of Iraqi individuals with Cl I and Cl III skeletal pattern: a comparative cephalometric study
...Show More Authors

View Publication
Publication Date
Mon Jan 01 2018
Journal Name
Biochem. Cell. Arch.
Comparative anatomical study of genus Oxalis L. (Oxalidaceae) in Iraq
...Show More Authors

The present study included the collection of fresh samples of species of genus Oxalis and examined the anatomical characteristics of the stem, scape, petiole, leaf and pedicel

Scopus (1)
Scopus
Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering
...Show More Authors

This study focused on spectral clustering (SC) and three-constraint affinity matrix spectral clustering (3CAM-SC) to determine the number of clusters and the membership of the clusters of the COST 2100 channel model (C2CM) multipath dataset simultaneously. Various multipath clustering approaches solve only the number of clusters without taking into consideration the membership of clusters. The problem of giving only the number of clusters is that there is no assurance that the membership of the multipath clusters is accurate even though the number of clusters is correct. SC and 3CAM-SC aimed to solve this problem by determining the membership of the clusters. The cluster and the cluster count were then computed through the cluster-wise J

... Show More
View Publication Preview PDF
Scopus (5)
Crossref (3)
Scopus Clarivate Crossref
Publication Date
Sun Oct 01 2017
Journal Name
Journal Of Economics And Administrative Sciences
Fuzzy aggregate production planning by using fuzzy Goal programming with practical application
...Show More Authors

Research summarized in applying the model  of fuzzy goal programming for aggregate production planning , in General Company for hydraulic industries / plastic factory to get an optimal production plan  trying to cope with the impact that fluctuations in demand and  employs all available resources using two strategies where they are available   inventories  strategy and  the strategy of  change in the level of the workforce, these   strategies  costs are usually imprecise/fuzzy. The plant administration trying to minimize total production costs, minimize carrying costs and minimize changes in labour levels. depending on the gained data from th

... Show More
View Publication Preview PDF
Crossref
Publication Date
Fri Sep 30 2022
Journal Name
Journal Of The Iraqi University
Exclusion optimal portfolio from outlier by using fuzzy c-means clustering - analytical research at the Iraqi Stock Exchange
...Show More Authors

This research aims to solve the problem of selection using clustering algorithm, in this research optimal portfolio is formation using the single index model, and the real data are consisting from the stocks Iraqi Stock Exchange in the period 1/1/2007 to 31/12/2019. because the data series have missing values ,we used the two-stage missing value compensation method, the knowledge gap was inability the portfolio models to reduce The estimation error , inaccuracy of the cut-off rate and the Treynor ratio combine stocks into the portfolio that caused to decline in their performance, all these problems required employing clustering technic to data mining and regrouping it within clusters with similar characteristics to outperform the portfolio

... Show More
View Publication Preview PDF
Publication Date
Sun Jun 07 2015
Journal Name
Baghdad Science Journal
A comparative study between conventional methods and Vidas UP Salmonella (SPT) to investigate salmonella species from local and imported meat
...Show More Authors

The study was preformed for investigating of Salmonella from meat, and compared Vidas UP Salmonella (SPT) with the traditional methods of isolation for Salmonella , were examined 42 meat samples (Beef and Chicken) from the Local and Imported From local markets in the city of Baghdad from period December 2013 -February 2014 the samples were cultured on enrichment and differential media and examined samples Vidas, and confirmed of isolates by cultivation chromgenic agar, biochemical tests ,Api20 E systeme , In addition serological tests , and the serotypes determinate in the Central Public Health Laboratory / National Institute of Salmonella The results showed the contamination in imported meat was more than in the local meat 11.9% and 2

... Show More
View Publication Preview PDF
Crossref
Publication Date
Tue Sep 11 2018
Journal Name
Iraqi Journal Of Physics
Estimation of kidney tumor volume in CT images using medical image segmentation techniques
...Show More Authors

Kidney tumors are of different types having different characteristics and also remain challenging in the field of biomedicine. It becomes very important to detect the tumor and classify it at the early stage so that appropriate treatment can be planned. Accurate estimation of kidney tumor volume is essential for clinical diagnoses and therapeutic decisions related to renal diseases. The main objective of this research is to use the Computer-Aided Diagnosis (CAD) algorithms to help the early detection of kidney tumors that addresses the challenges of accurate kidney tumor volume estimation caused by extensive variations in kidney shape, size and orientation across subjects.
In this paper, have tried to implement an automated segmentati

... Show More
View Publication Preview PDF
Crossref
Publication Date
Wed Dec 30 2015
Journal Name
College Of Islamic Sciences
Violence and Islam
...Show More Authors

Most of the texts of Islamic law provide for the payment of damage and the denial of the human ... Damage of all kinds of material and moral, which is in the harm that affects the human being in himself or his offer or money or other affairs respected by Sharia. A person can defend himself, his mind, his religion, his offer and his money (the five imperatives) as much as he can. Islam rejects violence directed without a legitimate right and does not endorse aggression against others. Violence has been defined in language as a lack of compassion or against it or is a reprimand, bashing, and the blame ... It is in psychology: human behavior tainted by cruelty, oppression, and aggression, and is defined politically: it is deliberate civil d

... Show More
View Publication Preview PDF
Publication Date
Fri Sep 06 2024
Journal Name
Journal Of Economics And Administrative Sciences
Comparison of Some Wavelet Transformations to Estimate Nonparametric Regression Function
...Show More Authors

The purpose of this article is to improve and minimize noise from the signal by studying wavelet transforms and showing how to use the most effective ones for processing and analysis. As both the Discrete Wavelet Transformation method was used, we will outline some transformation techniques along with the methodology for applying them to remove noise from the signal. Proceeds based on the threshold value and the threshold functions Lifting Transformation, Wavelet Transformation, and Packet Discrete Wavelet Transformation. Using AMSE, A comparison was made between them , and the best was selected. When the aforementioned techniques were applied to actual data that was represented by each of the prices, it became evident that the lift

... Show More
Crossref