Yazar "Güngör, Murat Alparslan" seçeneğine göre listele

Listeleniyor 1 - 5 / 5
  • [ X ]
    Öğe
    Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances
    (2020) Güngör, Murat Alparslan; Polat, Seyfi
    Determining the borders of the objects in the images and detection of the edges is an important step for image processing applications. In this study, the areas of different objects were calculated using edge detection methods. The edges of real-time images taken from the camera were detected with traditionally used Sobel, Prewitt and Canny filters. In addition, these filters were applied to the images obtained using Basic Global Thresholding (BGT) pre-processing and Mean Thresholding (MT) pre-processing to detect the edges in the image. After eliminating the fake edges in the edge images, the areas of the obtained images were calculated. The methods used in this paper were compared according to the fake edge and the area calculation performances.
  • [ X ]
    Öğe
    Modified ultrasound despeckling assessment index for the Field II simulated cyst image
    (Institution of Engineering and Technology, 2017) Güngör, Murat Alparslan; Karagöz, İrfan
    Various methods have been proposed to reduce speckle noise, which decreases image quality in ultrasound images. The Field II simulated cyst image consists of three classes and is used to compare a proposed despeckle filter with other wellknown filters. The ultrasound despeckling assessment index (USDSAI) is a metric used to evaluate the proposed despeckling filters for the cyst image. This metric should be used when different regions are properly defined. In this study, the authors first analysed the performance of USDSAI for the cyst image. Then, the authors modified the USDSAI by proposing a new metric for the background class of the cyst image and evaluated its performance. The results show that the authors' proposed metric has better performance than USDSAI. © 2017, The Institution of Engineering and Technology.
  • [ X ]
    Öğe
    The analysis of tissue temperature rise caused by linear array transducers with Program Spheresum
    (Institute of Electrical and Electronics Engineers Inc., 2016) Güngör, Murat Alparslan; Karagöz, İrfan
    Diagnostic ultrasounds transmit sound waves into the body, and thus reveal important information about it. Because the transmitted sound waves cause tissue heating, diagnostic ultrasounds can produce adverse biologic effects in tissue, namely, thermal bioeffect. Both tissue characters and ultrasound parameters affect the amount of temperature rise on the tissue. Program Spheresum [1] gives the temperature rise on the tissue scanned by a diagnostic ultrasound. This study compares tissue temperature rise due to linear array transducers with different parameters by using Spheresum. The results show that the maximum temperature rise is generally near the source surface in the linear array transducer application with high frequency for different focal points. Especially in tissue with a high absorption coefficient and for the linear array transducer with high frequency, tissue temperature rise near the source surface should be considered as the image resolution. © 2016 IEEE.
  • [ X ]
    Öğe
    The effects of the median filter with different window sizes for ultrasound image
    (Institute of Electrical and Electronics Engineers Inc., 2017) Güngör, Murat Alparslan; Karagöz, İrfan
    Ultrasound is widely used in medical imaging. Unfortunately, speckle noise decreases the quality of the ultrasound image. One of the filters to reduce speckle noise in ultrasound image is the median filter. The median filter has no complex algorithms and there is no need for long time implementation of the median filter. Especially, for the portable ultrasound machines, the median filter is an important filter to reduce speckle noise. In this paper, we analyzed the effect of the median filter for ultrasonic imaging. To carry out our study we selected a kidney image simulated by the Field II program and a cameraman image from MATLAB. For the portable ultrasound machines, the performance of the median filter with the different window sizes is evaluated with the image quality metric and qualitative comparison. © 2016 IEEE.
  • [ X ]
    Öğe
    The homogeneity map method for speckle reduction in diagnostic ultrasound images
    (Elsevier B.V., 2015) Güngör, Murat Alparslan; Karagöz, İrfan
    This paper proposes a new method to reduce speckle noise in diagnostic ultrasound images by improving the speckle reduction capacity of an edge-sensitive filter. A homogeneity map is generated according to the local statistics of the window formed for each image pixel. The homogeneity map method uses the advantageous properties of a filter with a better smoothing capability than the edge-sensitive filter to increase the image quality of the edge-sensitive filter. We conducted our study using a cyst image simulated by the Field II program, a kidney image, and a real ultrasound image to which we applied two popular filters: SRAD and OBNLM. The results show that our proposed method has better denoising performance than the edge-sensitive filter, without any loss of edges. © 2015 Elsevier Ltd.