Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances

Güngör, Murat Alparslan; Polat, Seyfi

doi:10.30939/ijastech..726332

Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances

Murat Alparslan Güngör, (Electrical and Electronics Engineering Department, Faculty of Engineering, Hitit University, Çorum, 19030, Turkey)

Seyfi POLAT (Mechatronics Engineering Department, Faculty of Engineering, Hitit University, Çorum, 19030, Turkey)

International Journal of Automotive Science and Technology

1 0

Yıl: 2020 Cilt: 4 Sayı: 3 Sayfa Aralığı: 132 - 137 Metin Dili: İngilizce DOI: 10.30939/ijastech..726332 İndeks Tarihi: 17-09-2020

Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances

Öz:

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 areasof different objects were calculated using edge detection methods. The edges ofreal-time images taken from the camera were detected with traditionally usedSobel, Prewitt and Canny filters. In addition, these filters were applied to the images obtained using Basic Global Thresholding (BGT) pre-processing and MeanThresholding (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 werecalculated. The methods used in this paper were compared according to the fakeedge and the area calculation performances.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

[1] Sobel, I. (1970). Camera models and perception. Ph.D. thesis, Stanford University, CA.
[2] Prewitt, J. (1970). Object Enhancement and Extraction. Picture Processing and Psychopictorics, NY, Academic Pres.
[3] Canny, J. (1986). A Computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 8, 679-700.
[4] Jin, S., Li, X., Yang, X., Zhang, J. A., and Shen, D. (2019). Identification of tropical cyclone centers in sar imagery based on template matching and particle swarm optimization Algorithms. IEEE Transactions on Geoscience and Remote Sensing, 57(1), 598-608.
[5] Rafati, M., Arabfard, M., Zadeh, M. R. R., and Maghsoudloo, M. (2016). Assessment of noise reduction in ultrasound images of common carotid and brachial arteries. IET Computer Vision, 10(1), 1-8.
[6] Kalra, A., and Chhokar, R. L. (2016). A Hybrid approach using sobel and canny operator for digital image edge detection. International Conference on Micro-Electronics and Telecommunication Engineering (ICMETE), pp. 305-310.
[7] Guiming, S., and Jidong, S. (2016). Remote sensing image edge-detection based on improved Canny operator. 8th IEEE International Conference on Communication Software and Networks (ICCSN), pp. 652-656.
[8] Ye, H., Shen, B., and Yan, S. (2018). Prewitt edge detection based on BM3D image denoising. IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 1593-1597.
[9] Attivissimo, F., Cavone, G., Lanzolla, A. M. L., and Spadavecchia, M. (2010). A technique to improve the image quality in computer tomography. IEEE Transactions on Instrumentation and Measurement, 59(5), 1251-1257.
[10]Furnari, A., Farinella, G. M., Bruna, A. R., and Battiato, S. (2017). Distortion adaptive Sobel filters for the gradient estimation of wide angle images. Journal of Visual Communication and Image Representation, 46, 165-175.
[11]Menaka, R., Janarthanan, S., and Deeba, K. (2020). FPGA implementation of low power and high speed image edge detection algorithm. Microprocessors and Microsystems, 103053.
[12]Biswas, S., and Ghoshal, D. (2016). Blood cell detection using thresholding estimation based watershed transformation with Sobel filter in frequency domain. Procedia Computer Science, 89, 651-657.
[13]Vardhana, M., Arunkumar, N., Lasrado, S., Abdulhay, E., and Ramirez-Gonzalez, G. (2018). Convolutional neural network for bio-medical image segmentation with hardware acceleration. Cognitive Systems Research, 50, 10-14.
[14]Aybar, E. (2008). Edge detection on color images using sobel operator. Afyon Kocatepe University Journal of Science, 8(1), 205-217.
[15]Aybar, E. (2014). Edge detection using connection MAP. Anadolu University Journal of Science and Technology B - Theoritical Sciences (AUJST-B), 3(1), 21-32.
[16]Lalimi, M. A., Ghofrani, S., and McLernon, D. (2013). A vehicle license plate detection method using region and edge based methods. Computers & Electrical Engineering, 39(3), 834-845.
[17]Hsia, C. H., Wu, T. C., and Chiang, J. S. (2017). A new method of moving object detection using adaptive filter. Journal of Real-Time Image Processing, 13(2), 311-325.
[18]Szczepanski, M. (2019). Fast spatio-temporal digital paths video filter. Journal of Real-Time Image Processing,16(2), 477-489.
[19]Ahmad, N. S., Zaki, Z. M., and Ismail, W. (2014). Region of adaptive threshold segmentation between mean, median and otsu threshold for dental age assessment. International Conference on Computer, Communications, and Control Technology (I4CT), pp. 353-356.
[20]Rongwen Lu (2020). Basic global thresholding (https://www.mathworks.com/matlabcentral/fileexchange /38390-basic-global-thresholding), MATLAB Central File Exchange. Retrieved.

APA	Güngör M, Polat S (2020). Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. , 132 - 137. 10.30939/ijastech..726332
Chicago	Güngör Murat Alparslan,Polat Seyfi Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. (2020): 132 - 137. 10.30939/ijastech..726332
MLA	Güngör Murat Alparslan,Polat Seyfi Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. , 2020, ss.132 - 137. 10.30939/ijastech..726332
AMA	Güngör M,Polat S Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. . 2020; 132 - 137. 10.30939/ijastech..726332
Vancouver	Güngör M,Polat S Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. . 2020; 132 - 137. 10.30939/ijastech..726332
IEEE	Güngör M,Polat S "Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances." , ss.132 - 137, 2020. 10.30939/ijastech..726332
ISNAD	Güngör, Murat Alparslan - Polat, Seyfi. "Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances". (2020), 132-137. https://doi.org/10.30939/ijastech..726332

APA	Güngör M, Polat S (2020). Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. International Journal of Automotive Science and Technology, 4(3), 132 - 137. 10.30939/ijastech..726332
Chicago	Güngör Murat Alparslan,Polat Seyfi Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. International Journal of Automotive Science and Technology 4, no.3 (2020): 132 - 137. 10.30939/ijastech..726332
MLA	Güngör Murat Alparslan,Polat Seyfi Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. International Journal of Automotive Science and Technology, vol.4, no.3, 2020, ss.132 - 137. 10.30939/ijastech..726332
AMA	Güngör M,Polat S Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. International Journal of Automotive Science and Technology. 2020; 4(3): 132 - 137. 10.30939/ijastech..726332
Vancouver	Güngör M,Polat S Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances. International Journal of Automotive Science and Technology. 2020; 4(3): 132 - 137. 10.30939/ijastech..726332
IEEE	Güngör M,Polat S "Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances." International Journal of Automotive Science and Technology, 4, ss.132 - 137, 2020. 10.30939/ijastech..726332
ISNAD	Güngör, Murat Alparslan - Polat, Seyfi. "Comparison of the Edge Detection Methods According to Fake Edge and Area Calculation Performances". International Journal of Automotive Science and Technology 4/3 (2020), 132-137. https://doi.org/10.30939/ijastech..726332