scholarly journals Optic nerve disc mathematical parameterization and the statistical comparison with measurements

2010 ◽  
Vol 51 ◽  
Author(s):  
Vytautas Tiešis ◽  
Povilas Treigys
Keyword(s):  
Optic Nerve ◽  
Edge Detection ◽  
Statistical Tests ◽  
Automatic Measurement ◽  
Least Square Method ◽  
Least Square ◽  
Morphological Operations ◽  
Statistical Comparison ◽  
Diagnostic Parameters ◽  
Significant Difference

The paper deals with the automatic measurement of the optic nerve disc diagnostic parameters from eye fundus digital images. The automation gives objective measurements, in contrast to measurements by physicians that have large variance. The disc shape has been detected by the use of mathematical morphological operations, of Canny’s edge detection, of geometric Hough’s transformation and of the approximation by the least square method. The statistical tests confirm that there is no significant difference between measurements performed by physicians and automatic measurements.

Subpixel Edge Detection Algorithm of the Glass Bottle Based on Zernike Moments

2011 ◽  
Vol 80-81 ◽  
pp. 1345-1349
Author(s):  
Hao Yang ◽  
Lei Pei
Keyword(s):  
Edge Detection ◽  
Fast Algorithm ◽  
Least Square Method ◽  
Threshold Value ◽  
Detection Algorithm ◽  
Zernike Moments ◽  
Least Square ◽  
Measuring System ◽  
Zernike Moment ◽  
Glass Bottle

The accuracy of edge detection determines the accuracy of actual dimension measurement，in order to improve the measuring accuracy, this paper proposes a fast algorithm of detecting the glass bottle dimension based on Zernike moments. Firstly, combines the traditional Zernike moment-based method with Otsu adaptive threshold algorithm and a new fast algorithm for edge detection is proposed. Then uses this fast algorithm to detect the edge of glass bottle with subpixel-level and uses the least square method to fit ellipses formed by the glass bottle mouth and bottom. Calibrated the system with standard gauge block and obtain the actual dimension at last. Experimental results show that the improved algorithm not only can make the edge detection reach the subpixel-level accuracy, but also can avoid the edge misidentification and inefficient causing by repeatedly manual adjustments to select the threshold value when detecting the edge. Making a rapid, accurate, non-contact measuring system becomes a reality.

scholarly journals Impact of FDI, COP, and Inflation to Export in Five ASEAN Countries

2018 ◽  
Vol 19 (1) ◽  
pp. 94
Author(s):  
Nanda Adhi Purusa ◽  
Nurul Istiqomah
Keyword(s):  
Crude Oil ◽  
Alternative Energy ◽  
Statistical Tests ◽  
Least Square Method ◽  
Fixed Effect Model ◽  
Least Square ◽  
Oil Price ◽  
Coefficient Of Determination ◽  
Crude Oil Price ◽  
New Production

The effects of foreign direct investment (FDI), crude oil price and inflation on the export are mainly examined in the case of Indonesia, Malaysia, Philippines, Thailand, and Vietnam by using data from 2000 to 2015. These countries have opportunity to increased prosperity in the ASEAN Economic Community (AEC). Therefore, increasing productivity and international trading are important for each country. This study employed panel data model in the analyses and the findings show that Fixed Effect Model with Generalized Least Square method is implemented.  Hence, using this method is determined by likelihood test and Hausman test. The statistical tests in this study consist of partial coefficient test, stimulant, and coefficient of determination. The result shows that FDI and crude oil price have positive effect and significant on export, but inflation has negative effect and significant on export. Constant value shows that each country has the difference condition. Simple bureaucracy is needed to increased efficiency that will attract foreign investors to invest their fund and the discovery of alternative energy and new production technique can increase a country productivity significantly in producing goods or services for both domestic and export-oriented.

scholarly journals ACHIEVING CLOSE RANGE PHOTOGRAMMETRY WITH NON-METRIC MOBILE PHONE CAMERAS

2021 ◽  
Vol 47 (2) ◽  
pp. 71-79
Author(s):  
Joseph Olayemi Odumosu ◽  
Oluibukun Gbenga Ajayi ◽  
Victor Chukwuemeka Nnam ◽  
Samuel Ajayi
Keyword(s):  
Mobile Phone ◽  
Mobile Phones ◽  
Statistical Tests ◽  
Bundle Adjustment ◽  
Least Square ◽  
Adjustment Process ◽  
Current Increase ◽  
Close Range Photogrammetry ◽  
Significant Difference ◽  
Close Range

Close range photogrammetry (CRP) has gained increasing relevance over the years with its principles and theories being applied in diverse applications. Further supporting this trend, the current increase in the wide spread usage of mobile phones with high resolution cameras is expected to further popularize positioning by CRP. This paper presents the results of an experimental study wherein two (2) non-metric mobile phone cameras have been used to determine the 3-D coordinates of points on a building by using the collinearity condition equation in an iterative least square bundle adjustment process in MATLAB software environment. The two (2) mobile phones used were Tecno W3 and Infinix X509 phones with focal lengths of 5.432 mm and 8.391 mm respectively. Statistical tests on the results obtained shows that there is no significant difference between the 3-D coordinates obtained by ground survey and those obtained from both cameras at 99% confidence level. Furthermore, the study confirmed the capability of non-metric mobile phone cameras to determine 3D point positions to centimeter level accuracy (with maximum residuals of 11.8 cm, 31.0 cm, and 5.9 cm for the Tecno W3 camera and 14.6 cm, 16.1 cm and 1.8 cm for the Infinix X509 camera in the Eastings, Northings and Heights respectively).

Comparing NeuroQuant and volBrain Software for Automated Brain Analysis

2021 ◽  
Author(s):  
Panagiotis Koussis ◽  
Demetrios Glotsos ◽  
Eleni Lamprou ◽  
Panagiotis Toulas ◽  
Anastasios Gyftopoulos ◽  
...  
Keyword(s):  
Linear Correlation ◽  
Least Square Method ◽  
Brain Structures ◽  
Volume Measurement ◽  
Least Square ◽  
Test Method ◽  
Volume Analysis ◽  
Significant Difference ◽  
Strong Linear Correlation ◽  
Aided Diagnosis

Abstract Background and PurposeAutomated brain volume analysis from MRI images, is gaining an important role in computer-aided diagnosis. This study compares the volumes of brain segments that measured by two automated brain analysis software: NeuroQuant and volBrain. The aim is to investigate the quantitative and qualitative reliability of automated brain analysis.MethodsWe compared same brain segment volume measurements, from 45 patients, that calculated with both NeuroQuant and volBrain software. The statistical two-tailed unpaired t-test method used to determine if there is a significant difference on the same segment measurements performed from each software. Additionally, least square method used, to provide any evidence of linear correlation between them. In a case of extreme difference, manual volume measurement of a segment was performed, with JIM8 software.ResultsFrom the comparison of brain segments volumetric measurements made by NeuroQuant and volBrain, the differences for the Intracranial Cavity, Putamen, Thalamus and Amygdala considered extremely significant, the Whole Brain, Cerebellum, Hippocampus considered not significant, White Matter considered quite significant. In most cases strong linear correlation between the two software measurements found.ConclusionsThe unexpected significant differences found in some segments raised questions about the reliability of automated volume analysis as a quantitative tool. Strong linear correlation of the volumes presents that both software finally provides good qualitative information on brain structures, which is an important factor for computed aided diagnosis.

Research on the Relief Degree of Land Surface (RDLS) Calibration Coefficient of Highway in Plateau Mountainous Area

2011 ◽  
Vol 90-93 ◽  
pp. 426-432
Author(s):  
Guo Hua Liang ◽  
Rong Guo Ma ◽  
Chang Sheng Zhang ◽  
Feng Xia Wu
Keyword(s):  
Regression Model ◽  
Land Surface ◽  
Yunnan Province ◽  
Statistical Tests ◽  
Least Square Method ◽  
Least Square ◽  
Basic Data ◽  
Calibration Coefficient ◽  
Mountainous Area ◽  
Mountainous Areas

Different reasons leaded to highway circuitous between plateau mountainous area and plain lightly undulate area were analyzed. The main reason which leaded to highway circuitous is the RDLS was concluded. The regression model between the RDLS and calibration coefficient of different technological levels of highway in plateau mountainous area was acquired by the least square method and the statistical tests based on the RDLS and calibration coefficient basic data. Taken Yunnan Province which is mountainous plateau province for example, the regression model between the RDLS and calibration coefficient was acquired, using the RDLS and Calibration coefficient basic date form all technological levels of highway in Yunnan Province of different elevation plateau mountainous areas.

An Efficient and Fast Iris Location Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2549-2552
Author(s):  
Chun Lei Shi ◽  
Guang Yuan Jiang ◽  
Haiyan Qi ◽  
Fei Han
Keyword(s):  
Edge Detection ◽  
Radon Transform ◽  
Hough Transform ◽  
Least Square Method ◽  
Least Square ◽  
Threshold Method ◽  
Canny Operator ◽  
Edge Information ◽  
Localization Method ◽  
Location Algorithm

The edge information of pupil was extracted by the least-square method, and the iris outer circle was extracted by the improved Canny Operator plus Hough Transform. The segmental-secondary linear localization method adopting edge detection and Radon Transform was proposed to remove the noise from eyelid on the eyelid localization, the eyelash noise and eyelid shadows were removed by threshold method.

A New Method of Extraction of Mobile Robot Navigation Line Based on Edge Detection

2010 ◽  
Vol 143-144 ◽  
pp. 482-486
Author(s):  
Ji Wen Dong ◽  
Hui Ming Lv
Keyword(s):  
Edge Detection ◽  
Mobile Robot ◽  
Least Square Method ◽  
Visual Navigation ◽  
Least Square ◽  
New Method ◽  
Mobile Robot Navigation ◽  
Line Extraction ◽  
Three Stages ◽  
Method Of Extraction

The extraction of ground navigation line is one of the basic technologies of mobile robot visual navigation. Due to the shortcomings of traditional Hough transform and the least square method to extract navigation line, a new method of navigation line extraction based on edge detection is proposed in this paper, which includes three stages: image preprocessing, morphology de-noising and edge detection. First, using monocular camera to collect image of navigation line laid on the ground in advance and preprocesses the collected image, and then using morphology to remove separated points and empties, finally, detects the edge of the processed image, and calculates the slope of navigation line according to the calculated midpoints, then computed the deviated angle of the robot according to the slope and adjusted in real time in order to achieve navigation. Results of experiments show that the method has good feasibility.

PENGARUH PERPUTARAN KAS DAN PERPUTARAN PIUTANG TERHADAP RENTABILITAS EKONOMI

2018 ◽  
Vol 4 (1) ◽  
pp. 39-47
Author(s):  
H. Supriadi ◽  
W.P Sapta ◽  
Hj. Aslichah
Keyword(s):  
Linear Regression ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Dominant Factor ◽  
Accounts Receivable ◽  
Ordinary Least Square ◽  
Significant Difference ◽  
Descriptive Approach ◽  
Quantitative Descriptive

This study aims to identify and analyze the influence of cash turnover and accounts receivable turnover simultaneously, identify and analyze the effect of cash turnover and accounts receivable turnover of the economic profitability partially, and determine the dominant factor affecting the economic profitability. This research was conducted in cooperation with the reason that the Cooperative is a service company and trade. This research was conducted quantitative descriptive approach. The data collection is done by means of documentation and interviews were unstructured. The data used are secondary data derived from study subjects. The analytical method used is multiple linear regression with Ordinary Least Square method. The findings of this study include are:  a significant difference between cash turnover and accounts receivable turnover of the economic profitability simultaneously. a significant difference between the cash turnover receivables turnover against economic profitability partially. Receivables turnover is a dominant factor affecting the economic profitability.

scholarly journals A study on non performing assets management with reference to public sector banks, private sector banks and foreign banks in india

2015 ◽  
Vol 1 (1) ◽  
pp. 30-43 ◽  
Author(s):  
Mayur Rao ◽  
Ankita Patel
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Least Square Method ◽  
Least Square ◽  
Foreign Banks ◽  
Public And Private ◽  
Anova Test ◽  
Public Sector Banks ◽  
Significant Difference ◽  
Public Banks

Non Performing Assets (NPA‟s) are one of the major areas of concern for the Indian banking industry. Non-Performing Assets are like a double edged sword. They do not generate any income, whereas, the bank is required to make provisions such as assets. (Olekar and Talawar, 2012).NPAs do not just reflect badly in a bank‟s account books, they adversely impact the national economy. There are many research conducted on the topic of Non- Performing Assets (NPA)Management, concerning particular bank, comparative study of public and private banks etc. This paper considers the aggregate data of public sector, private sector and foreign banks and attempts to compare analyze and interpret the NPA management from the year 2009 -2013. On the conceptual side, it gives an overview of NPA, Types of NPA, causes and on the calculation side, it covers various NPA related ratios, use of Least square method for estimating Gross NPAs in the year 2014, and also application of ANOVA test to judge the presence of any significant difference between ratio of Gross NPA to Gross Advances. The findings reveals the percentage of Gross NPA to Gross advances is increasing for public banks, ratio of Loss Advances to Gross Advances are higher in foreign banks, the Estimated Gross NPA for 2014 is also more in public banks as compared to private and foreign banks and from the ANOVA test, it is concluded Ratio of Gross NPA to Gross Advances for public sector, private Sector and foreign Banks does not have significant difference between 2009 to 2013.

Method of Automobile-Sensitive Component of Safety Belt's Dimensional Inspection Based on Machine Vision

2013 ◽  
Vol 442 ◽  
pp. 397-404
Author(s):  
Bao Jun Yu ◽  
Ming Yang ◽  
Guo Qing Zhao
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Ccd Camera ◽  
Least Square Method ◽  
Morphological Processing ◽  
Least Square ◽  
Dimensional Inspection ◽  
Edge Points ◽  
Canny Algorithm ◽  
Straight Lines

The purpose of this paper is to measure the open size of automobile-sensitive component of safety belt by the method of machine vision. At first ,use the CCD camera to get images of the component. Then the software (NI Labview) can help to process those images easily. The needed edge points of the component in the picture can be found after image has been processed by filtering, gray-scale morphological processing, binaryzation and edge detection which has been implemented by Canny algorithm. Through those points we can get the result of the beeline equation by least square method, and finally detected the angle between the two straight lines which stand for different straight edges of the component .And the detected angle values is the open size we need .

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