Digital Color Image Classification Based on Modified Local  Binary Pattern Using Neural Network

Al-Qaisi, Aws; Manasreh, Adnan; Sharadqeh, Ahmad; Alqadi, Ziad

doi:10.15866/irecap.v9i6.18425

Cited by 8 publications

(8 citation statements)

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“…One of the most papular features extraction methods is LBP based method [21], [22], [23], [24], the features will be extracted based on LBP operator and as shown in table 3, by this modified LBP method we can generate a 4 elements features array [11[, [15], [16]for each speech file.…”

Section: Lbp Based Methodsmentioning

confidence: 99%

“…The speech file histogram can be calculated based on local binary pattern (LBP) operator calculation [24], [25], and here we introduce the following method as shown in table 2 to calculate LBP histogram for each speech file. To reduce the number of values used to represent the speech signal file we have to seek a method to extract a set of features values [17], [18], [19,[20], which must be unique and small and easily used to identify the speech file.…”

Section: Introduction *mentioning

confidence: 99%

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Evaluation of speech signal features extraction methods

Shayeb

Asad

Alqadi

et al. 2020

J. Appl. Sci. Eng. Technol. Educ.

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Human speech digital signals are famous and important digital types, they are used in many vital applications which require a high speed processing, so creating a speech signal features is a needed issue. In this research paper we will study more widely used methods of features extraction, we will implement them, and the obtained experimental results will be compared, efficiency parameters such as extraction time and throughput will be obtained and a speedup of each method will be calculated. Speech signal histogram will be used to improve some methods efficiency.

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Section: Lbp Based Methodsmentioning

confidence: 99%

Section: Introduction *mentioning

confidence: 99%

Evaluation of speech signal features extraction methods

Shayeb

Asad

Alqadi

et al. 2020

J. Appl. Sci. Eng. Technol. Educ.

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“…ANN is asset of fully connected neurons [10], [11] which are arranged in one or more layers [12], each neuron is a computational cell which as shown in figure 2 performs summation of the products of the weights and inputs [13], then according to the selected activation function calculates the cell output [14].…”

Section: -Artificial Neural Networkmentioning

confidence: 99%

Analysis of Methods used to Investigate Engineering Measured Experimental Data

Tariq¹,

Barakat²

2020

IJCSMC

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The results of many measured engineering experiments require an analysis and study process in order to determine the relationships between the independent variables and the dependent variables, and accordingly, the accuracy of the values of the adopted variables becomes an urgent necessity. In this research paper we will take a sample of laboratory data and find the necessary relationships between the different variables,and then we will present some models of artificial neural networks to find solutions to these relationships in order to make the necessary comparisons to reach some of the necessary recommendations regarding the handling of measured data.

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“…Thereafter it's possible to use the calculated classifier to implement an action [7][8][9]. In classification without the label, the data is inputted to the model, the model should return a class in a specific place [10,11]. Classification descriptions and predication are two forms of data mining that can be used to extract models and their use to describe the important data classes or predict future data.…”

Section: Introductionmentioning

confidence: 99%

Optimal Solution of Classification (Prediction) Problem

Khrisat¹

2022

RIA

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Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi-linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.

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Digital Color Image Classification Based on Modified Local Binary Pattern Using Neural Network

Cited by 8 publications

References 0 publications

Evaluation of speech signal features extraction methods

Evaluation of speech signal features extraction methods

Analysis of Methods used to Investigate Engineering Measured Experimental Data

Optimal Solution of Classification (Prediction) Problem

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