scholarly journals An Efficient Method for a Specific Case of Detecting Impulse Noise on Scanned Documents

2021 ◽  
Author(s):  
Petar Prvulović ◽  
Jelena Vasiljević ◽  
Dhinaharan Nagamalai
Keyword(s):  
Large Scale ◽  
Impulse Noise ◽  
Detection Method ◽  
Detection Accuracy ◽  
Primary Concern ◽  
Noise Detection ◽  
Second Stage ◽  
Margin Detection ◽  
Two Stages ◽  
Scanned Documents

This paper explains a method used to detect the presence of impulse noise in a set of scanned documents as a part of OCR preprocessing. As the document set is supposed to be processed in large scale, the primary concern of the noise detection method was efficiency within existing project constraints. Following the nature of noise, the method seeks to detect the presence of noise in document margins. The method works in two stages. First stage is margin detection, based on color spectre analysis. Second stage is noise recognition in margin samples, based on a pixel contrast score. The resulting implementation proved efficient both in terms of detection accuracy and algorithmic complexity.

scholarly journals A Noise Adaptive Approach to Impulse Noise Detection and Reduction

2015 ◽  
Vol 15 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Isma Irum ◽  
Muhammad Sharif ◽  
Mussarat Yasmin ◽  
Mudassar Raza ◽  
Faisal Azam
Keyword(s):  
Impulse Noise ◽  
Signal To Noise Ratio ◽  
Noise Detection ◽  
False Detection ◽  
Second Stage ◽  
Objective Quality ◽  
Noise Density ◽  
Filter Approach ◽  
Two Stages ◽  
Impulse Noise Detection

A noise adaptive filter has been proposed in this study aiming to estimate the original image pixel values in the presence of impulse noise in monochromatic images. The proposed filter approach is noise adaptive that as the percentage of noise density increases in the image, the size of neighborhood in filtering window is also increased. Proposed approach comprises of two stages, one is impulse noise detection and the other is impulse noise reduction or cancellation. First stage is based on median and mean distance and thresholding whereas the second stage is based on reconstruction of the image using the values of neighboring pixels of the pixel under consideration detected as contaminated pixel by first stage. Reconstruction is done by estimating reference values using uncorrupted pixels in the neighborhood of pixel under consideration. The proposed method has been compared to various existing methods by using peak signal to noise ratio (PSNR) for measuring the objective quality strength. To measure the impulse noise detection the method has also been compared with other existing methods using the ratio of mis  etection (MD) and false detection (FD).DOI: http://dx.doi.org/10.3126/njst.v15i1.12016  Nepal Journal of Science and TechnologyVol. 15, No.1 (2014) 67-76

scholarly journals Evaluating the parameters of a mobile maize dryer in practice

2013 ◽  
Vol 61 (6) ◽  
pp. 1779-1784
Author(s):  
Josef Los ◽  
Jiří Fryč ◽  
Zdeněk Konrád
Keyword(s):  
Large Scale ◽  
Electric Energy ◽  
Operating Parameters ◽  
The Czech Republic ◽  
Maize Hybrids ◽  
Post Harvest ◽  
Second Stage ◽  
Energy Intensiveness ◽  
Two Stages ◽  
The Given

The method of drying maize for grain has been recently employed on a large scale in the Czech Republic not only thanks to new maize hybrids but also thanks to the existence of new models of drying plants. One of the new post-harvest lines is a plant in Lipoltice (mobile dryer installed in 2010, storage base in 2012) where basic operational measurements were made of the energy intensiveness of drying and operating parameters of the maize dryer were evaluated. The process of maize drying had two stages, i.e. pre-drying from the initial average grain humidity of 28.55% to 19.6% in the first stage, and the additional drying from 16.7% to a final storage grain humidity of 13.7%. Mean volumes of natural gas consumed per 1 t% for drying in the first and second stage amounted to 1.275 m3 and 1.56 m3, respectively. The total mean consumption of electric energy per 1 t% was calculated to be 1.372 kWh for the given configuration of the post-harvest line.

An Outlier Detection Method Based on Fuzzy C-Means Clustering

2009 ◽  
Vol 419-420 ◽  
pp. 165-168
Author(s):  
Qiang Li ◽  
Jian Pei Zhang ◽  
Guang Sheng Feng
Keyword(s):  
Data Mining ◽  
Outlier Detection ◽  
Detection Method ◽  
Experimental Results ◽  
Data Mining Techniques ◽  
Fuzzy C Means ◽  
Second Stage ◽  
Fuzzy C Means Clustering ◽  
Fcm Clustering ◽  
Two Stages

Both fuzzy c-means (FCM) clustering and outlier detection are useful data mining techniques in real applications. In this paper, we show that the task of outlier detection could be achieved as by-product of fuzzy c-means clustering. The proposed strategy consists of two stages. The first stage consists of purely fuzzy c-means process, while the second stage identifies exceptional objects according to a novel metric based on the entropy of membership values. We provide experimental results to demonstrate the effectiveness of our technique.

Fault Signal Detection System of Large Scale Integrated Circuit Based on Single Chip Microcomputer

2014 ◽  
Vol 716-717 ◽  
pp. 924-927
Author(s):  
Xiu Ying Li ◽  
Cun Ping Liu ◽  
Rong Fang Mei
Keyword(s):  
Signal Detection ◽  
Integrated Circuit ◽  
Large Scale ◽  
Detection Method ◽  
Detection System ◽  
Design Method ◽  
Detection Accuracy ◽  
Single Chip ◽  
Single Chip Microcomputer ◽  
Working Performance

In the process of fault signal detection of large-scale integrated circuit, the fault signal detection can improve the working performance of large-scale integrated circuit. The traditional detection system is simple, time-consuming, and the error is large, the fault signal detection haslow accuracy. In view of this situation, a new design method of large scale integrated circuit fault signal detection system is proposed based on single chip microcomputer. S3C2410 is taken as hardware design basis, and the signal sensor is used, the software algorithm uses three B spline wavelet transform for ORB wave detection method. The detection is completed.The experiment experimental results show that the system can improve the detection accuracy greatly, and effectively improve the work efficiency.

scholarly journals Computer Vision Technique for Blind Identification of Modal Frequency of Structures from Video Measurements

2021 ◽  
Vol 10 (1) ◽  
pp. 12
Author(s):  
Vishal Allada ◽  
Thiyagarajan Jothi Saravanan
Keyword(s):  
Large Scale ◽  
Principal Component ◽  
Frequency Separation ◽  
Blind Identification ◽  
Modal Frequency ◽  
Motion Data ◽  
Second Stage ◽  
Mode Decomposition ◽  
Two Stages ◽  
Millennium Bridge

Operational modal analysis (OMA) is required for the maintenance of large-scale civil structures. This paper developed a novel methodology of non-contact-based blind identification of the modal frequency of a vibrating structure from its video measurement. There are two stages in the proposed methodology. The first stage is extracting the motion data of the vibrating structure from its video using a complex steerable pyramid. In the second stage, the principal component analysis combined with analytical mode decomposition is used for modal frequency separation from the motion data. Numerical validation of the methodology on a 10 DOF model is presented. The application of the proposed methodology on the London Millennium Bridge is also presented.

scholarly journals The statistical analysis of random-valued impulse noise detection techniques based on the local image characteristic: ROAD, ROLD and RORD

2019 ◽  
Vol 15 (2) ◽  
pp. 794
Author(s):  
Vorapoj Patanavijit ◽  
Kornkamol Thakulsukanant
Keyword(s):  
Statistical Analysis ◽  
Statistical Characteristic ◽  
Impulse Noise ◽  
Detection Accuracy ◽  
Noise Detection ◽  
Detection Techniques ◽  
Noise Density ◽  
Relative Differences ◽  
Impulse Noise Detection ◽  
Local Image

<p>Advances in local image statistical analysis have made possible the random-valued impulse noise detection but the current noise detections based on ROAD (Rank-Ordered Absolute Differences), ROLD (Rank-Ordered Logarithmic Differences) and RORD (Rank-Ordered Relative Differences), which are the most three effective and practical detections using the local image statistical characteristic, operates effectively on different noise density and different image statistical characteristic. To address these issues, this paper proposes the comparative analysis on the noise detections based on ROAD, ROLD and RORD. Therefore, the first contribution is the comparative statistical distribution of these three noise detections. By comprehensive experiment at each noise density, the optimized detected threshold is later determined from four benchmark data: Lena, Girl, Pepper and Airplane. Moreover, the maximum detection accuracy for each case is comparatively demonstrated by using the noise detections based on ROAD, ROLD and RORD with the optimized detected threshold.</p>

THERMODYNAMIC AND ELECTROCHEMICAL STUDY OF VANADIUM SOLUTIONS: TOWARDS VANADIUM RECOVERY FROM A SPENT CATALYST

2021 ◽  
Author(s):  
René Antaño-López ◽  
Fidel Hernández-Pérez ◽  
Fabricio Espejel-Ayala
Keyword(s):  
Petrochemical Industry ◽  
Large Scale ◽  
Industrial Wastes ◽  
Electrochemical Study ◽  
Spent Catalyst ◽  
Second Stage ◽  
Reduction Potentials ◽  
Electrochemical Processes ◽  
Thermochemical Processes ◽  
Two Stages

Due to the low abundance of vanadium in nature (about 135 g/t), the feasibility to recover it from industrial wastes has highly attracted scientific and technological attention. The main recovery routes reported are associated with chemical or thermochemical processes. However, the electrochemical recovery of vanadium from industrial wastes has been poorly investigated. In this work, a thermodynamic and electrochemical study for the possible vanadium recovery from a spent catalyst generated in the petrochemical industry was conducted. The study was divided into two stages using low vanadium concentrations. In the first stage, the recovery of vanadium was possible in its V4+ state at low reduction potentials, whereas for the second stage, cyclic voltammetry was used to calculate the diffusion coefficient and the heterogeneous velocity coefficient of the V5+/V4+ redox pair. The obtained values are similar to those reported in the literature for aqueous solutions at high vanadium concentrations and would allow the design of the system at large scale. This report aims to set the conditions for the possible vanadium recovery from a spent catalyst by means of electrochemical processes, although the optimization of such conditions must be further explored.

scholarly journals Potassium nitrate to overcome dormancy of Urochloa humidicola Comum seeds

2021 ◽  
Vol 42 (3) ◽  
pp. 963-978
Author(s):  
Thaís Soares Pereira ◽  
◽  
Tatiane Sanches Jeromini ◽  
Breno Rosa Neves ◽  
Renato Téo de Barros ◽  
...  
Keyword(s):  
Seed Germination ◽  
Water Content ◽  
Seed Dormancy ◽  
Large Scale ◽  
Potassium Nitrate ◽  
Germination Percentage ◽  
Main Difficulty ◽  
Second Stage ◽  
Suitable Treatment ◽  
Two Stages

The main difficulty with propagating Urochloa humidicola Comum is the high percentage of seed dormancy. Thus, the objective of this study was to develop a treatment to overcome seed dormancy and promote seed germination of this species that can be applied at a large scale. This study was conducted in two stages. First, the following treatments were evaluated using one seed lot: control (without treatment), immersion in H2SO4 (98%, 36N) for 10 min, moistening the germination substrate with KNO3 (0.2%) and immersion in KNO3 at concentrations of 0%, 2%, 4%, 6%, and 8% for periods of 12, 24, 36, and 48 h, followed by drying in the shade. In the second stage, three seed lots were evaluated in all of the aforementioned treatments, except for those of immersion in 0% KNO3 and of all concentrations for 36 and 48 h. The seeds were evaluated for water content, germination, percentage of abnormal seedlings, dead and dormant seeds, first count, and average germination time. Immersion in the KNO3 solution was efficient in overcoming dormancy and promoting germination. To be used by companies, the immersion of seeds in a 4% KNO3 solution for 24 h was the most suitable treatment to overcome dormancy and promote the germination of U. humidicola Comum seeds.

scholarly journals A New Fuzzy Impulse Noise Detection Method for Colour Images

2007 ◽  
pp. 492-501 ◽  
Author(s):  
Samuel Morillas ◽  
Stefan Schulte ◽  
Etienne E. Kerre ◽  
Guillermo Peris-Fajarnés
Keyword(s):  
Impulse Noise ◽  
Detection Method ◽  
Noise Detection ◽  
Impulse Noise Detection
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