Gümüşhane University Institutional Repository
https://acikerisim.gumushane.edu.tr:443/xmlui
DSpace dijital arşiv sistemi toplar, depolar, dizinler, korur ve dijital araştırma materyallerini dağıtmaya aracılık eder.
2024-03-30T04:28:35Z
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DL-EDOF: Novel Multi-Focus Image Data Set and Deep Learning-Based Approach for More Accurate and Specimen-Free Extended Depth of Focus
https://hdl.handle.net/20.500.12440/6188
DL-EDOF: Novel Multi-Focus Image Data Set and Deep Learning-Based Approach for More Accurate and Specimen-Free Extended Depth of Focus
Doğan, Hülya; Doğan, Ramazan Özgür; Ay, İlyas; Sezen, Sena F.
Depth of focus (DOF) is defined as the axial range in which the specimen stage moves without losing focus while the imaging apparatus remains stable. It may not be possible to capture an image that includes the entire specimen in focus due to the narrow DOF in microscopic systems. Extended depth of focus (EDOF) is used to overcome this limitation in microscopic systems. Although the researchers have developed so many EDOF microscope approaches, this research field still has some crucial shortcomings such as high computational costs, complexity and execution time, requiring additional equipment, low precise characterization of curves, and edges in images, varying performance depending on the specimen and microscope, using only gray levels of input images to acquire the pixel’s focus values. In order to minimize these shortcomings and comprehensively analyze the performance of EDOF approaches, a novel multi-focus image data set is generated, and a deep learning-based EDOF microscope approach is proposed in this study. When compared with the state-of-art EDOF approaches, our study provides various crucial contributions such as the first EDOF approach based on unsupervised deep learning, providing more accurate and specimen-free EDOF, generating a novel multi-focus image data, not requiring any pre- or post-processing technique and acquiring the pixel’s focus degrees using deep features. In order to evaluate the effectiveness of the suggested approach, 20 different EDOF approaches are applied to a multi-focus image data set containing 9 image collections (4 synthetic and 5 microscope image collections) in total. Performance analysis metrics with and without requiring a reference image are preferred to identify which EDOF microscope approach can extract more essential details from the multi-focus images for the synthetic and microscope image collections, which are Root Mean Square Error (RMSE), Peak Signal Noise Ratio (PSNR), Universal Quality Index (UQI), Correlation Coefficient (CC), Perception-based Image Quality Evaluator (PIQE), Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE), Extension of Universal Quality Index for N Images (UQIN), and Naturalness Image Quality Evaluator (NIQE). Objective and subjective analysis of this study demonstrates that unsupervised deep learning model is more efficient to transmit crucial details from multi-focus images. Moreover, the suggested EDOF microscope approach with highest PSNR, UQI, CC, UQIN and lowest RMSE, PIQE, BRISQUE, NIQE produces higher performance than the state-of-art approaches.
0025-01-01T00:00:00Z
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Two Moss Species New to Turkey and South-West Asia
https://hdl.handle.net/20.500.12440/6187
Two Moss Species New to Turkey and South-West Asia
Nevzat Batan; Özcan, Osman; Özen-Öztürk, Öznur; Erata, Hüseyin; Alataş, Mevlüt; Ezer, Tülay
Abstrat: —Sphagnum russowii and Leptodontium flexifolium found as new to Turkey following a recent bryofloristic foray in Artvin region (Caucasus), from the East Black Sea region of Turkey and Leptodontium is the first record of the genus from Turkey. Descriptions, illustrations, a distribution map, ecological characteristics, and comparisons with morphologically similar taxa were presented. © Pleiades Publishing, Inc. 2023.
2023-01-01T00:00:00Z
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Determining the factors influencing tourist souvenir expenditure The case of Turkey
https://hdl.handle.net/20.500.12440/6186
Determining the factors influencing tourist souvenir expenditure The case of Turkey
Kızılcık, Onur; Birdir, Kemal
In this study, information will be explored that will contribute to increasing tourism income in destinations with low tourist expenditure per person. For this purpose, the souvenir expenditure of tourists in Turkey is examined. Souvenir stores in Sultanahmet and the Grand Bazaar in Istanbul were investigated using a qualitative case study research design. Semi-structured interviews were conducted with 11 souvenir sellers and 778 online comments of tourists shopping in souvenir stores were analyzed by netnography. As a result of the research, it has been determined that the efforts made to transform products based on the natural, historical and cultural richness of Turkey into brands, and thus increase local product diversity, play a critical role in increasing souvenir expenditure. On the other hand, the importance of the selection of high spending tourists as the target market and increasing the employment of qualified workers in the tourism sector has emerged. © by the author.
2023-01-01T00:00:00Z
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Significance of Model Forest Stakeholders in the Management of Sustainable Forest Resources: The Case of Yalova Model Forest, Turkey
https://hdl.handle.net/20.500.12440/6185
Significance of Model Forest Stakeholders in the Management of Sustainable Forest Resources: The Case of Yalova Model Forest, Turkey
Bekiroğlu, Sultan; Özdemir, Mehmet; Özyürek, Ercan; Çakır, Günay
Success of model forests, which are organized to support sustainable management of forests in collaboration with environmental, social, and economic forces on forest-based large territories, depends on the development of civil society index dimensions defined as “stakeholder participation,” “organizational structure,” “environment,” “values,” and “impact.” In this study, which was carried out within the scope of Yalova Model Forest, situation analysis strengths, weaknesses, opportunities, and threats analysis was used as a method. Literature and official documents, expert opinions on “stakeholder engagement,” and data obtained through a 30-question survey were used as material. In this study, “historical development,”“legal regulations,” “activities” of Yalova Model Forest and weaknesses, strengths, opportunities, threats of civil society index and strategies pertaining to them were determined. Strengths, weaknesses, opportunities, and threats analysis was conducted by forming four separate focus groups for four dimensions of the Yalova Model Forest civil society index. According to the results of this study, the stakeholder participation dimension was concluded to be exceedingly inadequate. This is evidenced by advocate stakeholders’ insufficient participation rates in activities, absence of adverse stakeholders in this reconciliation platform, and the fact that 99% of dormant–indifferent stakeholders are unaware of this organization’s existence. Therefore, stakeholder participation dimension should be strengthened and the strategic plans that will be implemented should be prepared with the participation of stakeholders. Otherwise, Yalova Model Forest’s existence, as a civil society organization, will be jeopardized. However, active advocate stakeholders’ enthusiasm about resolving problems is reassuring for the future of Yalova Model Forest. © 2024 Istanbul University-Cerrahpaşa. All rights reserved.
2024-01-01T00:00:00Z