Mile Petrović - Academia.edu (original) (raw)

Papers by Mile Petrović

essential contribution to the quality of pasture and meadow communities and soil fertility. Among... more essential contribution to the quality of pasture and meadow communities and soil fertility. Among such are narrow-leafed vetch (V. sativa subsp. nigra (L.) Ehrh.), large-flowered vetch (V. grandiflora Scop.), hairy vetch (V. villosa Roth), Hungarian vetch (V. pannonica Crantz) and tiny vetch (V. hirsuta (L.) Gray). As crude pro- tein concentration in dry matter is more than 200 g/kg, these

Electronics ETF, 2018

The paper presents the mid-term results of the implementation of Master study program on Digital ... more The paper presents the mid-term results of the implementation of Master study program on Digital Broadcasting and Broadband Technologies in Western Balkans countries. In this period the teaching courses are developed and the corresponding laboratory equipment is acquired. The project takes part of the Erasmus+ program for Capacity Building in Higher Education. In the rest of the project lifetime the new courses will be carried out altogether with laboratory exercises.

The research paper below gives analyses of different kinds of edge detection algorithms, with gra... more The research paper below gives analyses of different kinds of edge detection algorithms, with gradient structure, observed on a bit-plane model. Even though each bit contains certain part of information of the image, different algorithms for edge detection of the image do not perform identically, which is proved on a practical example of this work. Research has been conducted via the analysis done on the individual level through the exact image, as well as through the extent of 350 images characteristic for digital transformation of image. Each result, based on structural similarity model (SSIM), is given using the extent of the details level that was observed.

In this paper, the influence of the basic parameters of the satellite transponder on its capacity... more In this paper, the influence of the basic parameters of the satellite transponder on its capacity is analyzed. Using DVB Calculator, the influence of modulation formats (QPSK, 8PSK, 16APSK and 32APSK), FEC parameters, Roll-Off factors and Frame Length on Bit Rate and Symbol Rate of satellite transponder are analyzed. The table shows the Bit Rate for various DVB-S and DVB-S2 standard combinations.

Etri Journal, Jun 8, 2010

In this letter, we analyze the error performance of a mobile communication system with microdiver... more In this letter, we analyze the error performance of a mobile communication system with microdiversity and macrodiversity reception in gamma-shadowed Rician fading channels for a binary differential phase-shift keying modulation scheme. Analytical expressions for the probability density function (PDF) and moment-generating function (MGF) are derived. The average bit error probability can be calculated by averaging the conditional bit error probability over the PDF or using the MGF-based approach. Numerical results are graphically presented to show the effects of macrodiversity, correlation, number of diversity branches, and severity of both fading and shadowing.

Tehnicki Vjesnik-technical Gazette, Apr 1, 2020

Segmentation is one of the latest directions of digital imaging development, presented by partial... more Segmentation is one of the latest directions of digital imaging development, presented by partial segments which are parts of the same image. The currently used algorithms are rare and far from ideal. Depending on the situation, algorithms behave differently, so it is almost impossible to single out a unique conclusion. This paper gives a proposal for new segmentation techniques with the help of Imaging Biomarkers for the digital image processing with auxiliary Hybrid edge detection algorithm and especially a defined threshold of detection. Matlab software is used for giving a particular conceptual design of a partial display of images and for correlating adequate numerical methods of digital processing. The study results confirm the quality of the proposed algorithm and position it for practical use in classification of BI-RADS breasts classified by density.

U ovom radu je izvršena analiza uticaja modulacionih šema i kodnog količnika na broj TV kanala u ... more U ovom radu je izvršena analiza uticaja modulacionih šema i kodnog količnika na broj TV kanala u jednom UHF kanalu primenom DVB-T2 standarda. Najpre je korišćenjem DVB kalkulatora određena bitska brzina jednog UHF kanala za različite modulacione formate (QPSK, 16QAM, 64QAM, 256QAM) i kodne količnike. Zatim je određen broj TV kanala (SDTV, HDTV i UHDTV) koji se smešta u jednom multipleksu UHF kanala korišćenjem MPEG-2, MPEG-4 i HEVC kompresionog standarda. Grafički je prikazan broj TV kanala kada se koristi promenljiva i kada se koristi konstantna bitska brzina. Na kraju je dat tabelarni pregled sa parametrima i realnim opterećenjem DVB-T/T2 multipleksa u Srbiji i zemljama u regionu.

Journal of Communications Technology and Electronics, Nov 1, 2014

This paper analyzes the quality of the six most significant operators to detect the edges through... more This paper analyzes the quality of the six most significant operators to detect the edges through the parameters of the Peak Signal to Noise Ratio (PSNR), signal to noise ratio (SNR), Mean Square Error (MSE) and Entropy over dental images. The analysis results are presented graphically and in tables. Model analysis was performed through the conversion of primary images in the pictures with different edge detection, and analysis of images obtained through the above parameters and varying degrees of bits per pixel (bpp). The analysis shows that operators Pyramid and Roberts give much better results at lower levels of bpp, whilst, according to Entropy of image, best results are being given by Pyramid operator. The study is consisted of two parts: first analyzing the parameters PSNR, SNR and MSE through bpp and afterwards analyzing Entropy images and level of detail.

Proceedings of the International Scientific Conference - Sinteza 2023

Image segmentation is the process of dividing a digital image into image segments so that individ... more Image segmentation is the process of dividing a digital image into image segments so that individual regions of interest can be analyzed and processed instead of the entire image. Image segmentation has a significant role in detecting regions of interest and extracting attributes and regions from those images. In this paper, five original grayscale abnormal MRI brain images have been processed by using image segmentation techniques for detecting and extracting regions of interest, in this case, tumors. This research described three methods of detection and extraction of tumors from abnormal MRI brain images in MATLAB: a method based on combined local threshold segmentation techniques with morphological operations for tumor detection; a method based on region splitting and merging segmentation techniques; and a method based on combined thresholding, Meyer's flooding watershed algorithm, as an image segmentation technique with morphological operations for tumor detection. Abnormal MRI brain images were preprocessed in order to obtain suitable results. Image data used in this research were obtained from Radiopedia, an educational radiology resource. The best method for detecting and extracting tumors has been determined by comparing the results of accuracy, sensitivity, F-measure, precision, MCC, dice, jaccard, and specificity. Based on the results of these measurements, it has been concluded and confirmed that the first and third methods are both equally good for detecting and extracting tumors.

ZBORNIK RADOVA UNIVERZITETA SINERGIJA

In this paper, an analysis of the edge detection over images of different complexity affected by ... more In this paper, an analysis of the edge detection over images of different complexity affected by Salt and Pepper, Gaussian and Speckle noise is performed. An analysis was performed for three noise levels, 0.01, 0.05 and 0.1. Over 100 images from the BSD database were used for analysis and each image has a GroundTruth with which an objective assessment of the detected edges was performed using PR and F measures. Five edge detectors Canny, LoG, Sobel, Prewitt and Roberts operator were used. The results are presented graphically. The obtained results show that noise significantly affects the detection of edges. When it comes to Salt and Pepper noise, Canny detector has achieved the best results for all levels of noise and image complexity. With the Speckle noise type for high and medium number of details in the image, Canny also gave the best results, while for low number of details in the image it is the Prewitt operator. When it comes to Gaussian noise, for all three categories of im...

In this paper an approach to the performance analysis of hybrid MRCS (Selection Maximal Ratio Com... more In this paper an approach to the performance analysis of hybrid MRCS (Selection Maximal Ratio Combining) diversity system operating over Ricean fading channels is presented. Hybrid MRCS combining method has a simple implementation, where maximal-ratio combined signals are chosen on a selection combining basis. Closed form expressions are provided for standard first and second order statistical measures for the signal at the output of the combiner, i.e. PDF (probability density function), CDF (cumulative distribution function), LCR (level crossing rate). Capitalizing on them standard performance measures like ABEP (Average Bit Error Probability) over some modulation techniques and AFD (Average Fade Duration) are efficiently evaluated and discussed in the function of various system parameters.U ovom radu predložen je pristup za analizu performansi hibridnog Selection Maximal Ratio Combining (MRCS) raznolikog sustava koji radi u Riceovim kanalima. Hibridna MRCS metoda je jednostavno pr...

Proceedings of the International Scientific Conference - Sinteza 2022

Image enhancement is the part of image pre-processing that is used to improve image quality and a... more Image enhancement is the part of image pre-processing that is used to improve image quality and adjust image information content for further processing and includes techniques such as removing noise or reducing noise levels to a certain extent, adjusting contrast, sharpening the image, etc. In this research, 5 original grayscale images which are abnormal magnetic resonance imaging (MRI) brain images have been processed by using enhancement techniques in two different domains, spatial and frequency. This research described method of enhancement abnormal MRI brain images by using combining spatial domain techniques in MATLAB and method of enhancement abnormal MRI brain images by using combined 2-D stationary wavelet transform for denoising in Wavelet Analyzer technique within MATLAB and filtering in frequency domain technique in MATLAB. Image data used in this research were obtained from Radiopaedia, an educational radiology resource. The best technique to applied on abnormal MRI brain images has been detected by comparing the results of peak signal to noise ratio (PSNR), signal to noise ratio (SNR) and mean square error (MSE). Based on results obtained for PSNR, SNR and MSE measurements, it has been concluded and confirmed that better results for image enhancement of abnormal MRI brain images gives us combining spatial enhancement techniques.

2021 12th International Symposium on Advanced Topics in Electrical Engineering (ATEE)

The paper provides a functional solution for design and implementation of multimedia TV systems f... more The paper provides a functional solution for design and implementation of multimedia TV systems from a technical and practical aspect. The multimedia TV system can be used as the educational laboratory and in the TV content production. The paper shows structure of a TV system, functional block diagram of implemented video and audio system with enabled connections of the devices in the system. In paper is presented a method for connecting TV equipment for professional production and broadcasting but also can be used as educational laboratory. The implemented TV system is designed to produce content of various video formats, so that content can be transmitted and produced up to 4K resolution. The laboratory is designed in that way where all signals that are received and sent can be analyzed and measured. The laboratory is implemented at a higher education institution and also can be implemented in other educational institutions, as well as in professional television stations.

Optik, 2021

Abstract This paper presents a new approach to edge detection based on the application of an adeq... more Abstract This paper presents a new approach to edge detection based on the application of an adequate adaptive algorithm for edge detection depending on the image complexity criteria. The complexity of the image was determined based on spatial information. Also, a new approach of estimating threshold for edge detection has been developed, which is based on the principles of machine learning, by applying grid search and random search. For analysis and testing, images with real scenes were used. This dataset was used to improve threshold estimation using the grid and random search methods. Based on the obtained results, it can be seen that the complexity significantly affects the edge detection, so with a low and medium number of details, the Roberts operator achieved good results. For images with a high number of details, the Canny operator has proven to be the best solution. New approach for estimate the threshold based on the grid search improves edge detection, especially with the Canny operator. Grid search-based method gives best results but it takes a lot of computational time. If computational time and the improvements obtained are taken into account, more effective optimization of the parameters for estimating threshold values is random search method.

Proceedings of the International Scientific Conference - Sinteza 2017, 2017

Proceedings of the International Scientific Conference - Sinteza 2018, 2018

This paper analyzes the effect of front and back light on the Chroma key effect in a virtual TV s... more This paper analyzes the effect of front and back light on the Chroma key effect in a virtual TV studio. The model of the system in which the experiment was realized is given. Different intensity of front and back light was used. The analysis of the front light of 200 lux, 800 lux and 1400 lux was done, while the back light changes in the range from 200 to 1400 lux. The characteristics of the analyzed images were clearly determined by their luminance histogram and parameters Mean, Median, and Standard Deviation. Chroma key effect parameters: Color Tolerance, Edge Thin and Edge Feather were used for the analysis. The results that are considered are tabulated and graphically based on the influence of light on the quality of the realization of the Chroma key effect.

2017 13th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS), 2017

2018 26th Telecommunications Forum (TELFOR), 2018

The aim of this paper is to examine the impact of successive B frames using H.264 and H.265 compr... more The aim of this paper is to examine the impact of successive B frames using H.264 and H.265 compression techniques on video content of 4K resolution and Full HD when changing their quality. The results obtained several analysis parameters are presented by tables and graphics, based on which conclusions were made.