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Automated Ultrasound Object Segmentation Using Combinatorial Active Contour Method
Active Contour (AC) is an algorithm widely used in segmentation for developing Computer-Aided
Diagnosis (CAD) systems in ultrasound imaging. Existing AC models still retain an interactive
nature. This is due to the large number of parameters and…
Diagnosis (CAD) systems in ultrasound imaging. Existing AC models still retain an interactive
nature. This is due to the large number of parameters and…
Temporal Action Segmentation in Sign Language System for Bahasa Indonesia (SIBI) Videos Using Optical Flow-Based Approach
Sign language (SL) is vital in fostering communication for the deaf and hard-of-hearing communities. Continuous Sign Language Translation (CSLT) is a work that translates sign language into spoken language. CSLT translation is done by changing…
An Alternative for Kernel SVM when Stacked with a Neural Network
Many studies stack SVM and neural network by utilzing SVM as an output layer of the neural network. However, those studies use kernel before the SVM which is unnecessary. In this study, we proposed an alternative to kernel SVM and proved why kernel…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Brain tumor segmentation using multi-level Otsu thresholding and Chan-Vese active contour model
Research on brain tumor segmentation has been developed, ranging from threshold-based methods to the use of the deep learning algorithm. In this study, we proposed a region-based brain tumor segmentation method, namely the active contour model (ACM).…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Solid waste classification using pyramid scene parsing network segmentation and combined features
Solid waste problem become a serious issue for the countries around the world
since the amount of generated solid waste increase annually. As an effort to
reduce and reuse of solid waste, a classification of solid waste image is needed
to support…
since the amount of generated solid waste increase annually. As an effort to
reduce and reuse of solid waste, a classification of solid waste image is needed
to support…
Journal of ICT Research and Applications ITB Bandung Vol. 14 No. 3 2020
Development of Hybrid Automatic Segmentation Technique of a Single Leaf from Overlapping Leaves Image
Abstract. The segmentation of a single leaf from an image with overlapping leaves is an important step towards the realization of effective precision agricultural systems. A popular approach used for this segmentation task is the hybridization of the…