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- MakaleYalnız künye2022Scopus SJRQ1Robust copy-move detection in digital audio forensics based on pitch and modified discrete cosine transform
Ustubioglu, Beste; Küçükuğurlu, Büşranur; Ulutas, Guzin
Copy-move forgery is one of the most widely used methods in the field of audio forensic because it is difficult to detect and convenient to apply. However, post-processing operations applied to forged speech to hide traces of forgery make detection of forensic more difficult. In this study, we propose a robust method for detection and localization of the audio copy-move forgery using modified discrete cosine transform (MDCT). For this purpose, we first divide the speech recording into voiced and unvoiced parts by extracting a pitch sequence from the speech recording. After the determination of voiced parts, we extract MDCT coefficients from them and take the mean of the transpose of the coefficient matrix as the feature. These MDCT features are very robust against commonly used post-processing operations (especially audio compressing). Euclidean distance (ED) is applied to compute the similarities between the features. The voiced parts, which give minimum ED are determined as copy-move audio parts. Also, two separate databases (Pitch-based and Voice Activity Detection (VAD-based) are created during the work to evaluate the performance of the proposed method because there is no common database in the field of audio forensic in the literature. Experiment results show that the proposed method gives better results for detection and localization of audio copy-move forgery on different databases compared to other studies in the literature. The proposed method is also robust against common post-processing operations such as noise addition, filtering operation, and especially compression operation.
AtıfScopus22WoS17OpenAlex23
İncele - MakaleYalnız künye2016Scopus SJRQ4A semiautomatic segmentation approach to biometric measurement of the talus bone of sedentary women and ballerinas using CT images
Reis, Hatice Catal; Bayram, Bulent; Seker, Dursun Zafer
Background: Ballet produces much stress on bones in the feet of ballerinas. Monitoring and detecting talus bone deformation is important for their quality of health and profession. Objectives: To determine differences in the talus bone between ballerinas and sedentary women. Methods: We evaluated biometric differences in the talus bone of 5 ballerinas referenced to 5 similar sedentary women recruited into the present study. We acquired 20 multidetector computed tomographic images including right and left feet. Semiautomatic region-based image processing using 3D-Doctor (Able Software Corp) was used to create three-dimensional (3D) virtual models of the talus bones. Biometric measurements were made on the 3D models and statistical analysis conducted. Results: The mean talus bone length of ballerinas was 3.37 cm (SD 0.12; range 3.11 to 3.52). The talus bone length of sedentary women was 3.29 cm (SD 0.16; range 3.04 to 3.65), and tended to be shorter than that of the ballerinas (P = 0.08, t test). However, the test was insufficiently powered. The mean volume of the talus bones from the ballerinas was 24.8 cm3 (SD 0.83) and smaller than that from the sedentary women, 26.9 cm3 (SD 1.25) at P < 0.001 (t = 4.38, 18 degrees of freedom. Difference 2.1. Two-tailed 95% confidence interval for difference of means: 1.08 to 3.08). We found less variation in the feet of ballerinas than sedentary women. Conclusions: Volumetric measurements show that feet of ballerinas are smaller and retain similar shape and size than the irregular feet of sedentary women.
AtıfScopus3OpenAlex1İncele - BildiriYalnız künye2013Three-dimensional modeling of women's talus bone
Catal, Hatice; Corumluoglu, Ozsen; Bayram, Bulent
In this study, semi-automatic region-based digital image processing techniques were used to create 3-dimensional (3D) virtual model of talus bone. 5 ballerinas and 5 sedentary women have voluntarily been involved in to the study. Total 20 right and left feet have been used which have been taken from the multidetector computed tomography (MDCT). We used 3D Doctor Software in this research. Image preprocessing, segmentation and 3D modeling steps were done respectively. Volume, area and length based various statistical ratios were computed according to the measurements. The comparisons have been accomplished by using these ratios for sedentary and ballerinas. As an outcome, some differences were found in talus of ballerina and sedentary women. We hope that the results from the biometric and reconstructive techniques carried out in this study will contribute to the present knowledge in orthopedics and digital image processing in this area.
- BildiriYalnız künye2012Using 3D models from multidetector computed tomography images for diagnostic of Hallux-valgus
Catal, Hatice; Corumluoglu, Ozsen
Medical image processing techniques is often used in medicine or some engineering fields. In this study, we used basic techniques of metric digital image processing. Axial MDCT (Multidetector Computed Tomography) Ballerina's feet images were used to form 3D models by 3D-Doctor software. The virtual 3D models are in high accuracy. Hallux-valgus angles were calculated and recorded by using these 3D virtual models. We hope that the results from the biometric and reconstructive techniques carried out in this work will contribute to the present knowledge in medicine especially on ballerina's foot health and digital image processing in this area.
AtıfScopus1İncele - BildiriYalnız künye2012Three-dimensional modeling of the sesamoid bones
Catal, Hatice; Corumluoglu, Ozsen
In this research, digital image processing techniques was used to create 3-dimensional (3D) virtual model of sesamoid bones. As study materials, Ballerina's and sedentary women's axial MDCT (Multidetector Computed Tomography) feet images were utilized. For the determination bone boundaries in each slides, image preprocessing and then segmentation steps were followed. All these processing steps was done in 3DDoctor software. All the measurements were obtained over the 3D model formed. Various statistical ratios were computed regarding the area, volume and length measurements. The comparison done in the study was performed by using these ratios for sedentary and ballerinas. As an outcome, some differences were found in sesamoid bones of ballerina and sedentary women.