Search Results - (( _ relations from algorithm ) OR ( image classification using algorithm ))*

An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

“…The new urban areas identified from the binary images are classified to their urban growth forms using moving window, topological relation border length and landscape expansion index algorithms. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms by Teoh, Chin Chuang

“…In addition, the best band selected for image classification is not necessarily the best for classification.A Best Band Selection Index (BBSI) algorithm was developed which is capable of selecting the best band combination for image visualization and supervised classification. …”
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Combining object-based classification and data mining algorithm to classify urban surface materials from worldview-2 satellite image by Hamedianfar, Alireza, Mohd Shafri, Helmi Zulhaidi

“…In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. …”
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Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad by Ahmad, Khairul Adilah

“…In general, image segmentation isolates an object from the images, feature extraction creates features for classification phase while object classification categorizes objects into the correct groups. …”
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Image Classification with Higher-Dimension Watershed Classifier: A Test to Malaysian National Land Use Classification Scheme by Hashim, Mazlan

“…Results are presented for 3 different models of classification: (i) maximum likelihood, (ii) combinations of 2-D watersheds, and (iii) n-D watershed, tested over a relatively heterogeneous land cover of Malaysia. It is shown that the n-D watershed method is the most superior, although it has not reported a substantial improvement in the classification accuracy from the 2-D approach. …”
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Spectral signature analysis to determine mangrove species delineation structured by anthropogenic effects by Abdul Wahab, Zulfa, Kamarudin, Norizah, Omar, Hamdan, Ibrahim, Faridah Anum, Parman, Rhyma Purnamasayangsukasih, Anwar, Fitrianto

“…The use of the SID and SAM algorithms may provide the most promising way of classification for improving the mangrove species identification, with medium resolution of satellite image. …”
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Characterisation of pineapple cultivars under different storage conditions using infrared thermal imaging coupled with machine learning algorithms by Mohd Ali, Maimunah, Hashim, Norhashila, Abd Aziz, Samsuzana, Lasekan, Ola

“…The results showed that support vector machine achieved the best performance from the combination of optimal image parameters with the highest classification rate of 100%. …”
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Development Of An Algorithm To Reduce The Topographical Effects In Reflected Radiance by Yeap, Eng Choo

“…The algorithm was tested on 11 Landsat 8 OLI satellite images assessed with 120 sample points each. …”
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Pelvic classification based on deep learning algorithm on clinical CT scans in Malaysian population by Yahaya, Yasmin Arijah Che

“…The utility of deep convolutional neural network (DCNN) for sex and age estimation was evaluated using images generated from reconstructed 3- dimensional computed tomography images. …”
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

“…MiniVGGNet is an architecture network used to train an object classification, and the data used for this purpose was collected from specific indoor environment building. …”
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Integration of object-based image analysis and data mining techniques for detailes urban mapping using remote sensing by Hamedianfar, Alireza

“…Numerous OBIA attributes were explored using the C4.5 algorithm on the Universiti Putra Malaysia (with 20 bands) and Kuala Lumpur (with 128 bands) hyperspectral images. …”
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Mapping of Krau Wildlife Reserve (KWR) protected area using Landsat 8 and supervised classification algorithms by Shaharum, Nur Shafira Nisa, Mohd Shafri, Helmi Zulhaidi, Gambo, Jibrin, Zainal Abidin, Fauzul Azim

“…Three supervised classification algorithms were used and compared. Multidated images from Landsat 8 were utilized, and spectral angle mapper (SAM), support vector machine (SVM), and artificial neural network (ANN) classifiers were applied and evaluated. …”
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Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain by Mohamad Zain, Muhammad Asyraf

“…For the future work, this system need to be improved by using dataset that are related to the ASD and by using other classification algorithm.…”
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Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining by Mohd Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng

“…Age-related Macular Degeneration (AMD) is the most common cause of adult blindness in the developed world. …”
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Classification of transient facial wrinkle by Rosdiyana, Samad, Mohammad Zarif, Rosli, Nor Rul Hasma, Abdullah, Mahfuzah, Mustafa, Dwi, Pebrianti, Nurul Hazlina, Noordin

“…In this study, classification of transient wrinkle is proposed by using wrinkle features that extracted from the combination algorithms of Gabor wavelet and Canny operator. …”
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Analyzing CT images for detecting lung cancer by applying the computational intelligence-based optimization techniques by Pethuraj, Mohamed Shakeel, Mohd Aboobaider, Burhanuddin, Salahuddin, Lizawati

“…Finally, the lung cancer is identified using Autoencoder based Recurrent Neural Network (ARNN) classification algorithm, successfully recognizing the lung cancer features. …”
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Plant leaf recognition algorithm using ant colony-based feature extraction technique by Ghasab, Mohammad Ali Jan

“…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
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Visual codebook analysis in image understanding / Hoo Wai Lam by Hoo, Wai Lam

“…Visual codebook, that act as a ‘dictionary’ for images, has been widely used in the literature. This thesis aims to investigate the limitations of current visual codebook algorithms and propose new solutions to deal with the identified problems. …”
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Distortion-Free Digital Watermarking for Medical Images (Fundus) using Complex- Valued Neural Network by Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Olanrewaju, Rashidah Funke

“…Fast Fourier Transform (FFT) was used to obtain the complex number (real and imaginary part) of the host image. …”
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Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

“…The SVM algorithm has been used to detect high- and low-density vegetation regions from the extracted ROI. …”