Search Results - image ((classification problem) OR (classification using))

Multiclass classification for chest x-ray images based on lesion location in lung zones by Saad, Mohd Nizam, Muda, Zurina, Sahari, Noraidah, Abd Hamid, Hamzaini

“…Innovation in radiology technology has generated numerous kinds of medical images like the chest X-ray (CXR).This image is used to find common problem in lung like the lesion through scanning process in lung area which is divided into six zones.By classifying the CXR images with common feature like the lesion location, we can ensure efficient image retrieval.Recently, Support Vector Machine (SVM) has turn out to be a well-known method for image classification.While many previous studies have reported the achievement of SVM in classifying images, yet there is still problem with this technique for multiclass classification.Since SVM is a binary classification technique, its ability is limited to classifying features between two classes at one time. …”
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Ambient-Aware Food Recognition and Management in Context of Smart Fridge by Lau, Christine Yuet Ning

“…In this project, Faster-RCNN was used to carry out image classification. Food wastage is now causing a big problem to the world. …”
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Mixed pixel classification on hyperspectral image using imbalanced learning and hyperparameter tuning methods by Purwadi, Abu, Nur Azman, Mohd, Othman, Kusuma, Bagus Adhi

“…Hyperspectral has a huge phenomenon that makes computations heavy compared to other types of images because this image is 3D. The problem faced in hyperspectral image classification is the high computational load, especially if the spatial resolution of the image also has mixed pixel problems. …”
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Classification of microcalcification in mammogram images using Enhanced Support Vector Machine (ESVM) / Muhammad Akmal Firdaus... [et al.] by Firdaus, Muhammad Akmal, Shadan, Siti Madinah, Mohd Faudzai, Nur Syahizah

“…Support Vector Machine (SVM) is a supervised machine learning algorithm with the ability to build a classification model from a labeled dataset. SVM has been broadly used in image classification of medical imaging such as mammogram images for breast cancer detection due to its higher classification precision, higher prediction accuracy, better generalization capability and better overall performance. …”
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Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021 by Ghazanfar, Latif, Faisal Yousif, Al Anezi, Dayang Nurfatimah, Awang Iskandar, Abul, Bashar, Jaafar, Alghazo

“…Objective: In this review paper, a detailed summary of the latest techniques used for brain MR image feature extraction and classification is presented. …”
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Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme by Ashour, Mohammed Waleed, Khalid, Fatimah, Al-Obaydee, Mohammed

“…Some of the main problems of image classification are the poor features that does not precisely represent an image, and the large dimensionality of data input passed to classifiers. …”
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Color-based of bird species classification using Support Vector Machine / Nur Amalina Nazery by Nazery, Nur Amalina

“…The problem is to classify the images from the set of training images. …”
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Brain MRI Tumor Analysis and Classification using Deep Learning by Ghazanfar, Latif

“…In this thesis, an automated multistage technique is proposed for the MR image classification into tumorous and non-tumorous images followed by brain tumor segmentation and classification in order to differentiate the tumors into these four classes using enhanced deep learning models. …”
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Development of preliminary classification system for drug related problem in patients receiving radio pharmaceuticals based on PCNE system V9.1 / Nurulfalahin Daud @ Ibrahim by Daud @ Ibrahim, Nurulfalahin

“…The items for category of the preliminary classification system includes treatment effectiveness, treatment safety, imaging problems, altered biodistribution, drug selection, dose selection, preparation and formulation, drug use process, patient related, dosimetry and other. …”
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Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks by Muhammad Ashraq, Salahuddin

“…For the classification of flower images, the problem is mainly due to the huge similarities in terms of colour and texture. …”
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Thresholding and Fuzzy Rule-Based Classification Approaches in Handling Mangrove Forest Mixed Pixel Problems Associated with in QuickBird Remote Sensing Image Analysis by Mohd, Othman *, Nanna , Suryanna, Sahib@Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Selamat, Siti Rahayu

“…Image classification is the important part of remote sensing, image analysis and pattern recognition. …”
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Assessment of coconut tree crown detection using remote sensing approach / Nurul Annissa Abdullah by Abdullah, Nurul Annissa

“…In this thesis, the identification of coconut tree crowns with the help of remote sensing is examined. The problem statement focuses on the difficulties in properly defining the class of coconut tree crowns for the purpose of difference in the image resolution and methods of classification. …”
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Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issue... by Abdulsahib A.A., Mahmoud M.A., Mohammed M.A., Rasheed H.H., Mostafa S.A., Maashi M.S.

Identification of Adolescent Idiopathic Scoliosis using image processing / Aisyah Afifah Mohd Hanip by Mohd Hanip, Aisyah Afifah

“…To overcome these problems, Identification of Adolescent Idiopathic Scoliosis application is built by using image processing. …”
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Scene Recognition and Classification Model Based on Human Pre-attentive Visual Attention by Ahmad Ridzuan, Kudus

“…In the field of computer vision, scene recognition problem is very significant and important. Scene recognition or classification is a process of organizing images and predicting the class category of a scene image. …”
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Improving Convolutional Neural Network (CNN) architecture (miniVGGNet) with batch normalization and learning rate decay factor for image classification by Ismail, Asmida, Ahmad, Siti Anom, Che Soh, Azura, Hassan, Mohd Khair, Harith, Hazreen Haizi

“…The image classification is a classical problem of image processing, computer vision, and machine learning. …”
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Adaptive skin color classification technique for color-based face detection systems using integral image by Tabatabaie, Zahra Sadri, O. K. Rahmat, Rahmita Wirza, Udzir, Nur Izura, Kheirkhah, Esmaeil

“…The proposed method first identifies those pixels that have illumination problem using integral image and then the pixels are adjusted using an adaptive gamma intensity correction method to rectify negative effect of illumination problems. …”
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Image feature extraction for colorectal cancer cells classification / Mohd. Yamin Ahmad by Ahmad, Mohd. Yamin

“…By combining result of gland shapes and nucleus size, the image classification is performed. The result shows that classification achieves 96.9% accuracy by using the proposed methods. …”
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Decision tree as knowledge management tool in image classification by Kusrini, , Harjoko, Agus

“…Expert System has been grown so fast as a science that study how to make computer capable of solving problems that typically can only be solved by expert.It has been realized that the biggest challenge of developing expert system is the process include expert’s knowledge into the system.This research tries to model expert’s knowledge management using case based reasoning method.The knowledge itself is not inputted directly by the expert, but rather the system will learn the knowledge from what the expert did to the previous cases.This research takes image classification as the problem to be solved.As the knowledge development technique, we build decision tree by using C4.5 algorithm.Variables used for building the decision tree are the image visual features.…”
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Plant recognition based on identification of leaf image using image processing / Nor Silawati Sha’ari by Sha’ari, Nor Silawati

“…NN such as Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) is trained in developing a classification system for agriculture purpose. ANN and KNN is applied to solve the problems in image analysis, pattern recognition and classification. …”
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