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Combination of K-NN and PCA Algorithms on Image Classification of Fish Species
To do fish farming, you need to know the types of fish to be cultivated. This is because the type of fish will affect how it is
handled and managed. So, this study aims to develop an image processing system for classifying fish species, especially…
handled and managed. So, this study aims to develop an image processing system for classifying fish species, especially…
Implementation of Self-Organizing Map (SOM) Algorithm for Image Classification of Medicinal Weeds
Wild plants or weeds often become enemies or disturb the main cultivated plants. In its development, wild plants or weeds
actually have ingredients that are beneficial to the body and can be used as medicine. However, many people still need…
actually have ingredients that are beneficial to the body and can be used as medicine. However, many people still need…
Pleural Effusion Classification Based on Chest X-Ray Images using Convolutional Neural Network
Pleural effusion is an abnormal lung condition characterized by a buildup of fluid between the two layers of the pleura, which causes specific symptoms such as chest pain and shortness of breath. In Indonesia, pleural effusion cases alone account for…
TELKOMNIKA Telecommunication Computing Electronics and Control
Investigation of classical segmentation's impact on paddy disease classification performance
The key source of information for disease diagnosis and classification in paddy diseases is the leaves. Applying hybrid techniques, such as image processing-pattern recognition (IP-PR) and computer vision-based technologies, is the answer to…
TELKOMNIKA Telecommunication Computing Electronics and Control
Support vector machine based discrete wavelet transform for magnetic resonance imaging brain tumor classification
Here, a brain tumor classification method using the support vector machine
(SVM) algorithm by utilizing discrete wavelet transform (DWT)
transformation and feature extraction of gray-level co-occurrence matrix
(GLCM) and local binary pattern (LBP)…
(SVM) algorithm by utilizing discrete wavelet transform (DWT)
transformation and feature extraction of gray-level co-occurrence matrix
(GLCM) and local binary pattern (LBP)…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Image based anthracnose and red-rust leaf disease detection using deep learning
Deep residual learning frameworks have achieved great success in image
classification. This article presents the use of transfer learning which is
applied on mango leaf image dataset for its disease’s detection. New
methodology and training have…
classification. This article presents the use of transfer learning which is
applied on mango leaf image dataset for its disease’s detection. New
methodology and training have…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Vehicle logo recognition using histograms of oriented gradient descriptor and sparsity score
Most of vehicle have the similar structures and designs. It is extremely
complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an…
complicated and difficult to identify and classify vehicle brands based on their structure and shape. As we require a quick and reliable response, so vehicle logos are an…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Classification of pneumonia from X-ray images using siamese convolutional network
Pneumonia is one of the highest global causes of deaths especially for children under 5 years old. This happened mainly because of the difficulties in identifying the cause of pneumonia. As a result, the treatment given may not be suitable for each…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
A comparative analysis of automatic deep neural networks for image retrieval
Feature descriptor and similarity measures are the two core components in
content-based image retrieval and crucial issues due to “semantic gap”
between human conceptual meaning and a machine low-level feature.
Recently, deep learning techniques…
content-based image retrieval and crucial issues due to “semantic gap”
between human conceptual meaning and a machine low-level feature.
Recently, deep learning techniques…