182 results for “Image Classification”
Research Article
Open Access Meme Histopatoloji Görüntülerinin Derin Öğrenme Yöntemleri İle Sınıflandırılması
Meral Karakurt, Karakurt M, İsmail İşeri, İşeri İ
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.019
Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…
Research Article
Open Access Improving Hyperspectral Image Classification with Watershed Segmentation-Based Texture Features
Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Volkan Yılmaz, Yılmaz V, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Hyperspectral images offer a good separability among land cover classes, owing to their advantages to provide spectral
bands with narrow wavelength intervals. It is also possible to further increase classification accuracy of hyperspectral images by
integrat…
Research Article
Open Access Görüntü Birleştirme Yöntemleri ile Çok-modlu Medikal Görüntülerin Kaynaştırılması
Fatma Çakıroğlu, Çakıroğlu F, Rıfat Kurban, Kurban R, Ali Durmuş, Durmuş A, Ercan Karaköse, Karaköse E
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.0026
Çok-modlu medikal görüntü birleştirme, görüntü kalitesini artırmak için iki ya da daha fazla medikal görüntünün birleştirilmesidir. Tıbbi görüntüleme sağlık alanında teşhis, araştırma ve tedavide önemli bir rolü üstlenmektedir. Tanı ve tedavide daha doğru klin…
Research Article
Open Access Eşikleme Tekniklerinin Renk Uzayı Tabanlı Kümeleme Yönteminin Başarısına Etkisi
Mahmut Kılıçaslan, Kılıçaslan M, Ufuk Tanyeri, Tanyeri U, Mürsel Ozan İncetaş, İncetaş M, Burcu Yakışır Girgin, Yakışır Girgin B, Recep Demirci, Demirci R
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Eşikleme yöntemleri kenar belirleme, bölütleme ve kümeleme yaklaşımlarında sıklıkla kullanılmaktadır. Söz konusu teknikler yardımıyla renk kanallarından çeşitli sayıda kümeler elde edilebilir. Ancak, hangi yaklaşımın daha başarılı olduğu konusu belirsizliğini …
Research Article
Open Access Modified Synthetic Variable Ratio Pansharpening Method
Volkan Yılmaz, Yılmaz V, Çiğdem Şerifoğlu Yılmaz, Şerifoğlu Yılmaz Ç, Oğuz Güngör, Güngör O
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Pansharpening, which is transferring the spatial content of a high-resolution panchromatic (PAN) band into a lowerresolution multispectral (MS) image to produce a spatially enhanced MS image, has always been one of the hottest topics of
image processing. Nume…
Research Article
Open Access Brain Tumor Classification Using Fine-Tuned Transfer Learning
Mustafa Suban Dut, Dut M, Meriç Çetin, Çetin M
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.10.001
Brain tumor is a progressive disease that significantly affects human life. These diseases can reduce the quality of life by causing losses in motor and cognitive functions. Since the chance of treatment decreases when not diagnosed early, advanced technologie…
Research Article
Open Access Performance Comparison of Carotid Artery Intima Media Thickness Classification by Deep Learning Methods
Serkan Savaş, Savaş S, Nurettin Topaloğlu, Topaloğlu N, Ömer Kazcı, Kazcı Ö, Pınar Nercis Koşar, Koşar P
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.025
Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …
Research Article
Open Access A Brief Review on Object Oriented Image Classification Methods for Information Extraction from Satellite and Aerial Images on Land Use/Cover Applications
Mustafa Hayri Kesikoğlu, Kesikoğlu M, Sevim Yasemin Çiçekli, Çiçekli S, Tolga Kaynak, Kaynak T
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Over the years, developments in the world of science and technology have emerged. Developments in image classification methods can also be evaluated in this context. Nowadays, the use of image classification methods for extracting information from data obtaine…
Research Article
Open Access 2050 Mimarlık ve İç Mimarlık Eğitim Yapıları Tahayyülü Üzerine
Fahreddin Fatih Mete, Mete F
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.50.001
Mekân, bulunduğu dönemin getirileri ile şekillenir, kültürel ve teknolojik gelişmeleri ile evrilir. Eğitim yapıları da bulunduğu döneme ve teknolojik gelişmelere bağlı olarak dönüşmekte, gerek mekânsal gerek de müfredat ve öğretim kurgusu açısından değişiklikl…
Research Article
Open Access Parallel Image Processing Algorithms on GPU Environment
Zafer Güler, Güler Z, Ahmet Çınar, Çınar A, Erdal Özbay, Özbay E
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
The use of GPUs for general purpose applications is not a recent approach, but it was quickly becoming widespread with NVIDIA's CUDA (Compute Unified Device Architecture) architecture based on C programming language in 2007. Algorithms suitable for parallel op…
Research Article
Open Access Error Control of Cylindrical Objects with Image Processing
Kürşad Uçar, Uçar K, Hasan Erdinç Koçer, Koçer H
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Image processing methods have been widely used for detection of product faults in recent years. Images of industrial products that made of various materials are taken with different types of cameras and by using different lenses. Working on images of metallic …
Research Article
Open Access Real-time Pedestrian Attribute Detection from Surveillance Cameras
Betül Ay, Ay B, Galip Aydin, Aydin G
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.002
In recent years, computer vision has taken great strides in understanding and recognition the visual scenes together with deep learning technologies. Object recognition is one of the key areas of the computer vision applications. It is mainly concerned with re…
Research Article
Open Access Public Relations Activities In The Development Of The Brand Image Of Cities: Antalya Example
Selin Ünal Çimçek, Ünal Çimçek S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
In today's increasingly competitive environment, cities like businesses need to strengthen their image. Cities with a strong brand image attract attention by providing a distinctive feature. In the development of the cities, the images that contribute to the d…
Research Article
Open Access Image enhancement by using Hybrid methods based on Artificial Neural Networks
Gülhan Ustabaş Kaya, Kaya G, Zehra Saraç, Saraç Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of t…
Research Article
Open Access Skin Cancer Classification into Three Classes
Cihan Akyel, Akyel C
Proceedings of the 6th International Symposium on Innovative Approaches in Smart Technologies 2022 https://doi.org/10.36287/setsci.5.2.008
The incidence of skin cancer is increasing. Early detection of cases of skin cancer is vital for treatment. Recently, computerized methods have been widely used in cancer diagnosis. These methods have important advantages such as no human error, short diagnosi…
Research Article
Open Access YERLİ VE YABANCI TURİSTLERİN DESTİNASYON İMAJINA İLİŞKİN ALGI FARKLIKLIKLARI: PAMUKKALE ÖRNEĞİ
Ali Soylu, Soylu A, Nuray Selma Özdipçiner, Özdipçiner N, Seher Ceylan, Ceylan S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Destination image refers to the mental schemes, beliefs and ideas of individuals about a place or destination. In the development of tourism, it is of utmost importance that the important products, the destinations, are made known and have a positive image in …
Research Article
Open Access Gürültünün Tohumlu Alan Genişletme Tabanlı Bölütleme Sonucuna Etkisinin Nicemsel Olarak Belirlenmesi
Mürsel Ozan İncetaş, İncetaş M, Mahmut Kılıçaslan, Kılıçaslan M, Ufuk Tanyeri, Tanyeri U, Burcu Yakışır Girgin, Yakışır Girgin B, Zübeyr Aydemir, Aydemir Z
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Görüntü bölütleme, görüntü işlemenin önemli aşamalarından biridir ve SRG (Seeded Region Growing – Tohumlu Bölge Genişletme) en bilinen bölge tabanlı bölütleme tekniklerindendir. Bu çalışmada tohum seçimlerinin, tohumlu alan genişletmedeki başarıya etkisi incel…
Research Article
Open Access Pedestrian and Vehicles Detection with ResNet in Aerial Images
Enes Cengiz, Cengiz E, Cemal Yılmaz, Yılmaz C, Hamdi Tolga Kahraman, Kahraman H, Fatih Bayram, Bayram F
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.107
In today's applications, a significant increase in the use of deep learning algorithms is noticeable. The convolution neural network (CNN) of deep learning has been used frequently recently, especially for the successful discrimination of people and vehicles …
Research Article
Open Access Deep Learning Approaches for Lung Cancer Classification: A Comparative Study of Multiple Model Architectures
Ayşe Nur Durmaz, Durmaz A, Nihan Özbaltan, Özbaltan N
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.41.001
Early detection of lung cancer remains a critical challenge in medical imaging, where accurate classification between benign and malignant pulmonary nodules can significantly impact patient outcomes. This study presents a comprehensive comparative analysis of …
Research Article
Open Access Supervised Image Classification Methods For Extracting ManMade Objects From High Resolution Remotely Sensed Imagery
Serhat Şenses, Şenses S
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
Detecting objects meaningfully and correctly have been challenged problem for years. Several algorithms and techniques have been developed for the extraction of man-made objects from high resolution remote sensing imagery. This paper describes and comparison t…