Search Results - image classification based

Object based image analysis of support vector machine and rule based image classification for building extraction/ Nazatul Asyikin Arham by Arham, Nazatul Asyikin

“…The overall accuracy and kappa coefficient for SVM is 95.11% and 93% respectively and the classification accuracy using rule-based image classification shows 83.49%) and 76%) of overall accuracy and kappa coefficient respectively. …”
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Daisy species classification based on image using Convolutional Neural Network algorithm / Haris Hidayatullah Khaimuza by Khaimuza, Haris Hidayatullah

“…The first objective of this study is to study the Convolutional Neural Network (CNN) algorithm in the classification of daisy species based on image. Second objective is to develop the prototype of daisy species classification based on image using CNN algorithm. …”
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A Novel Method for Fashion Clothing Image Classification Based on Deep Learning by Yoon Shin, Seong, Jo, Gwanghyun, Wang, Guangxing

“…This paper suggested a deep learning-based image classification technique based on a CNN model and improved convolutional and pooling layers. …”
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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

“…Therefore, it is difficult to classify CXR images which contain many image features.Realizing the problem, we proposed an application method for multiclass classification with SVM to the CXR images based on the lesion position in the lung zones.The multiclass classification application is executed on the CXR images taken from Japan Society of Radiology Technology dataset.Lesion coordinates were selected as the classification input while the lung zones becomes the labels. …”
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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

“…The performance of the ESVM method is measured in term of classification rate (CR), specificity (SP), sensitivity (SY) and the accuracy based on Receiving Operating Characteristics (ROC) curve obtained by comparing the images classification results of ESVM and expert findings. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul'aini Hambali by Hambali, Hamirul'aini

“…Image segmentation and object classification processes are gaining importance in image processing applications such as in agricultural area. …”
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Architecture for biodiversity image retrieval using ontology and Content Based Image Retrieval (CBIR) / Arpah Abu by Abu, Arpah

“…As for image classification, Minimum distance classifier is used to classify the retrieved images and the relevant images in the retrieved images are then measured based on the Euclidean distance and visual comparison. …”
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Starfruit ripeness classification system based on image processing technique / Wan Muhammad Akram Wan Hasan by Wan Hasan, Wan Muhammad Akram

“…This shows that the classification of starfruit based on image processing technique using artificial neural network can be used to classified ripeness.…”
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Feature extraction and selection algorithm based on self adaptive ant colony system for sky image classification by Petwan, Montha

“…The performance of FESSIC was evaluated against ten benchmark image classification algorithms and six classifiers on four ground-based sky image datasets. …”
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Multilevel feature extraction and X-ray image classification by Mueen, A., Baba, M.S., Zainuddin, R.

“…Classification of images is an important step of content-based image retrieval (CBIR). …”
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Detection of forest fire scar in peatland using segmentation analysis and pixel-based classification of PlanetScope imagery by Ismail, Mohd Hasmadi, Rahmawaty, Roslani, Muhammad Akmal, Itaya, Akemi

“…The overall accuracy assessment of five land cover classes in the study area was higher using segmentation image analysis, which was 89%, compared to pixel-based classification, which was 80%. …”
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An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio by Razalli, Husniza, Rahmat, Rahmita Wirza O. K, Khalid, Fatimah, Sulaiman, Puteri Suhaiza

“…The angle that forms on human face images has been calculated based on selected facial features landmark points. …”
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A comparative assessment between object and pixel-based classification approaches for land-use/land-cover mapping using Spot 5 imagery by Tehrany, Mahyat Shafapour, Pradhan, Biswajeet, Jebuv, Mustafa Neamah

“…In pixel-based image analysis, a supervised classification was performed using the DT classifier. …”
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A rule-based image segmentation method and neural network model for classifying fruit in natural environment / Hamirul‘Aini Hambali by Hambali, Hamirul‘Aini

“…Image segmentation and object classification processes are gaining importance in image processing applications such as in agricultural area. …”
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Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise by Tiwari, Shamik, Akhilesh Kumar Sharma, Akhilesh Kumar Sharma, Abdul Aziz, Izzatdin, Deepak Gupta, Deepak Gupta, Jain, Antima, Mahdin, Hairulnizam, Senthil Athithan, Senthil Athithan, Hidayat, Rahmat

“…Applications for Segmentation-Based Fractal Texture Features (SFTF) include image classification, texture generation, and medical image analysis. …”
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A comparison of pixel-based and object-based classification methods for hyperspectral tree species classification / Muhammad Farish Danial Mohd Sham by Mohd Sham, Muhammad Farish Danial

“…In this study, the aim is to classify forest trees using pixel-based classification and object-based image analysis (OBIA), which is supported by Hyperspectral Analysis while its objectives are to determine which classification methods are the best to use in Malaysia tropical forest, to acquire the optimum parameter for each pixel-based classification methods, assess the accuracy assessment of each classification methods, emphasizing the composition and distribution of different species. …”
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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

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Object-based classification of QuickBird image and low point density LIDAR for tropical trees and shrubs mapping by Yusuf, Badronnisa, Mohd Shafri, Helmi Zulhaidi, Mohamed, Thamer Ahmed, Zahidi, Izni, Hamedianfar, Alireza

“…The study concluded that the fusion of QuickBird image and low point density LIDAR in rule-based classification together with field data were useful in quantifying tropical trees and shrubs.…”
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Vessels classification by Suriani, Nor Surayani

“…The model-based classification is design using Image Processing MATLAB Toolbox. …”
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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 LDA and kNN-based algorithms also obtained quite high classification accuracies with all the accuracies above 90%. …”
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