Search Results - (( a determination based algorithm ) OR ( image classification _ algorithm ))
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1
An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani
Published 2015“…The urban growth images obtained are analysed to improve existing classification algorithms. …”
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Thesis -
2
FLUORESCENCE INTENSITY POSITIVITY CLASSIFICATION OF HEP-2 CELLS IMAGES USING FUZZY LOGIC
Published 2013“…Automated interpretation is crucial to assure high accuracy to determine the autoantibody type of diseases. There are different classifier algorithm methods that have been proposed in previous works to classify the fluorescence intensity, however, there is still no valid algorithms to set as a standard. …”
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3
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…To overcome such challenges, this study attempts to comprehend and improve the remote sensing technology for rooftop classification using the Worldview-3 (WV-3) image and object-based image analysis (OBIA) method. …”
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4
Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…It involves identifying and isolating relevant information from the images that classification algorithms can use to distinguish between different fruit categories. …”
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5
Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
Published 2013“…A multi-date post-classification comparison algorithm was used to determine LULC changes in two intervals, 1986-1990, and 1990-2000. …”
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6
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The proposed methods have been evaluated using two image datasets: UECFOOD-100 and UNICT-FD1200. The performance of algorithms was measured based on classification accuracy, error rate, and precision and recall. …”
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7
Pengesan lalu lintas dengan kaedah pemerosesan imej
Published 2001“…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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Building detection using object-based Image analysis (OBIA) and machine learning (ML) algorithms / Hanani Mohd Shahar
Published 2020“…Thus, by enhancing the classification techniques in OBIA, building extraction accuracy using ML algorithms for medium resolution images can be improved and the expenses also can be reduced indirectly.…”
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9
Efficient classifying and indexing for large iris database based on enhanced clustering method
Published 2018“…In the current work, the new Weighted K-means algorithm based on the Improved Firefly Algorithm (WKIFA) has been used to overcome the shortcomings in using the Fireflies Algorithm (FA). …”
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10
A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area
Published 2016“…Determining the best method for mapping with a specific data source and study area is a major challenge because of the wide range of classification algorithms and methodologies available. …”
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11
Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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Intelligent Color Vision System For Ripeness Classification Of Oil Palm Fresh Fruit Bunch
Published 2015“…The images are collected and analyzed using digital image processing techniques. k-means clustering algorithm is used to segment the image into two separate regions which are fruit and spike regions. …”
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13
Classification of JPEG files by using extreme learning machine
Published 2018“…This paper proposes an Extreme Learning Machine (ELM) algorithm to assign a class label of JPEG or Non-JPEG image for files in a continuous series of data clusters. …”
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14
Intelligent non-destructive classification of josapine pineapple maturity using artificial neural network
Published 2016“…This minimum symmetrical edge distance algorithm wills geometrical rotated the pineapple images which to align with horizontal axis. …”
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15
Classification of Rheumatoid Arthritis using Machine Learning Algorithms
Published 2019“…The database has outputs of array temperature values from thermal imaging for the joints of hand. Furthermore, this database which consists of 8 attributes and 32 instances, are used to determine the performance in terms of accuracy for the classification of different algorithms. …”
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16
Classification of Rheumatoid Arthritis using Machine Learning Algorithms
Published 2019“…The database has outputs of array temperature values from thermal imaging for the joints of hand. Furthermore, this database which consists of 8 attributes and 32 instances, are used to determine the performance in terms of accuracy for the classification of different algorithms. …”
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Image authentication using Zernike moment watermarking
Published 2013“…The adding or replacing a portion of the image is regarded as malicious attacks and rejected by this algorithm. …”
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18
Extreme learning machine classification of file clusters for evaluating content-based feature vectors
Published 2018“…The files are allocated in a continuous series of clusters. The ELM algorithm is applied to the DFRWS (2006) dataset and the results show that the combination of the three methods produces 93.46% classification accuracy.…”
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A Modified Hopfield Neural Network Algorithm (MHNNA) Using ALOS Image for Water Quality Mapping
Published 2016“…The sample locations were determined using a handheld global positioning system (GPS). …”
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Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image
Published 2016“…This study also explores the use and comparison of object-based classification, and two common pixel-based classification methods namely, maximum likelihood and support vector machines based on WorldView-2 satellite imagery to evaluate the potential of the object-based in compare to pixel-based to detect urban tree species. …”
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