Search Results - (( image classification using algorithm ) OR ( based application interface algorithm ))

Vision-based egg grade classifier by Zalhan M.Z., Sera Syarmila S., Mohd Nazri I., Mohd Taha I.

AUTONOMOUS MOBILE ROBOT VISION BASED SYSTEM: HUMAN DETECTION BY COLOR by Mohd Shah, Hairol Nizam, Ab Rashid, Mohd Zamzuri, Mohd Sobran, Nur Maisarah

“…An offline process consists of the training of the static image, using deference input sources that depend on the application. …”
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Electroencephalogram-based decoding cognitive states using convolutional neural network and likelihood ratio based score fusion by Zafar, R., Dass, S.C., Malik, A.S.

“…However, EEG is an important technique, especially for brain-computer interface applications. In this study, a novel algorithm is proposed to decode brain activity associated with different types of images. …”
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Development of deep learning based user-friendly interface for fruit quality detection by Mohd Ali, Maimunah, Hashim, Norhashila

“…The implementation of deep learning algorithms has contributed to various applications related to the detection of fruit quality. …”
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Artificial intelligence system for pineapple variety classification and its quality evaluation during storage using infrared thermal imaging by Mohd Ali, Maimunah

“…The application of GUI using the CNN approach can also improve the predictive performance of the fruit classification collected in multi-batch image datasets. …”
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Hand Gesture Recognition Using Artificial Neural Networks by Mustafa, Mohd Amrallah

“…In order to have a system that can be easily trained, artificial neural networks has been chosen in the classification stage. A multilayer perceptron with back-propagation algorithm has been developed, thus the system is actually in-built to be used as a human machine interface. …”
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Development of computerized wood colour sorting system for Malaysian wood industry / Liew Shaer Jin by Liew , Shaer Jin

“…To achieve the research goal, our objectives are set to determine a suitable algorithm for colour features classification, to select the best features which contribute the most in the classification and to compare the effect of different cameras in the performance of the colour sorting. …”
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Development of computerized wood veneer colour sorting system for wood industry / Liew Shaer Jin by Liew , Shaer Jin

“…To achieve the research goal, our objectives are set to determine a suitable algorithm for colour features classification, to select the best features which contribute the most in the classification and to compare the effect of different cameras in the performance of the colour sorting. …”
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Smart attendance system with Iot based face recognition using deep learning approach by Seah, You

“…Two face recognition models were developed: the first model used Deep Neural Network (DNN) for face detection, FaceNet for feature extraction, and Support Vector Machine (SVM) for face classification, and the second model utilised Convolutional Neural Network, specifically the trained VGG16 model, with the ImageNet dataset as its pretrained weights. …”
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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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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

“…Therefore, an improved feature extraction and selection for sky image classification (FESSIC) algorithm is proposed. …”
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An improved pixel-based and region-based approach for urban growth classification algorithms / Nur Laila Ab Ghani by Ab Ghani, Nur Laila

“…The urban growth images obtained are analysed to improve existing classification algorithms. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza by Khaimuza, Haris Hidayatullah

“…Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. The last objective is to evaluate the accuracy of CNN model in the daisy species classification based on image. …”
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Phylogenetic tree classification system using machine learning algorithm by Tan, Jia Kae

“…A study is conducted to develop an automated phylogenetic tree image classification system by using machine learning algorithm. …”
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Laser-induced backscattering imaging for classification of seeded and seedless watermelons by Mohd Ali, Maimunah, Hashim, Norhashila, Bejo, Siti Khairunniza, Shamsudin, Rosnah

“…The laser-induced backscattering imaging technique is potentially useful for classification of seeded and seedless watermelons.…”
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Automatic classification of medical x-ray images by Zare, M.R., Seng, W.C., Mueen, A.

“…Image representation is one of the major aspects of automatic classification algorithms. …”
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Region-growing based segmentation and bag of features classification for breast ultrasound images by Lee, Lay Khoon

“…In the next stage, which is the segmentation stage, region growing algorithm is used to automatically detect tumors in ultrasound images. …”
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The use of SOM for fingerprint classification by Turky A.M., Ahmad M.S.

“…This paper introduces an approach to fingerprint classification by using Self-Organizing Maps (SOM). In order to be able to deal with fingerprint images having distorted regions, the SOM learning and classification algorithms are modified. …”

Image Processing Of Digital Mammograms For Breast Cancer Detection And Classification by Mohd Nizom, Ahmad Nabil

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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms by Rachmad, Iqbal, Tri Basuki, Kurniawan, Misinem, ., Edi Surya, Negara, Tata, Sutabri

“…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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