scholarly journals Color detection in RGB-modeled images using MAT LAB

2018 ◽  
Vol 7 (2.31) ◽  
pp. 29 ◽  
Author(s):  
P Sudharshan Duth ◽  
M Mary Deepa

This research work introduces a method of using color thresholds to identify two-dimensional images in MATLAB using the RGB Color model to recognize the Color preferred by the user in the picture. Methodologies including image color detection convert a 3-D RGB Image into a Gray-scale Image, at that point subtract the two pictures to obtain a 2-D black-and-white picture, filtering the noise picture elements using a median filter, detecting with a connected component mark digital pictures in the connected area and utilize the bounding box and its properties to calculate the metric for every marking area. In addition, the shade of the picture element is identified by examining the RGB value of every picture element present in the picture. Color Detection algorithm is executed utilizing the MATLAB  Picture handling Toolkit. The result of this implementation can be used in as a bit of security applications such as spy robots, object tracking, Color-based object isolation, and intrusion detection. 

2013 ◽  
Vol 756-759 ◽  
pp. 3517-3521
Author(s):  
Xue Feng Dong

The main objective of designing skin color model is to determine whether the pixel is skin color pixels and generate the skin color mask images. The paper discusses the choise of color space and skin color model designing in skin color detection system, analysis the problems often needed to solve in it and put forward an improved skin color detection algorithm model based on ellipse boundary. The skin color detection experiment is completed. The result of experiment shows the skin color detection algorithm model is good.


Author(s):  
L. Ovchinnikova ◽  
E. Babich

In the Republic of Kazakhstan over the past decade positive changes have been observed in increasing the number of farm animals, increasing their productivity, and increasing the gross production of milk, meat and other products. At the same time the development of dairy cattle breeding is mainly due to the breeding of Black-and-White, Red Steppe, Simmental breeds and their intra-breed types as well as imported from abroad Holstein breed. The purpose of the research was to analyze ways to improve the intra-breed type Karatomar of Black-and-White breed in Northern Kazakhstan. Research work has been carried out on breeding animals such as Karatomar type cattle of Black-and-White breed in LLP “Experimental farm Zarechnoe” in the Kostanay district in the Kostanay region. The dynamics of growth and development indicators, reproductive traits of heifers of a new intra-breed type Karatomar of Black-and-White cattle have been studied. A comprehensive assessment of their economically useful traits in the first lactation, determined by the resistance of animals to climatic and forage conditions, the efficiency of breeding of animals of different genotypes has been conducted. It has been found that the replacement heifers – daughters of American breeding sires inherited precocity and showed higher growth energy after 6 months of age and continued to grow rapidly until 18 months. The advantage in metabolism was in the daughters of Holstein sires of the American selection Orbit 4078, and the increased immune status of the organism in the daughters of the sire of the domestic selection Yamal 975 as the most adapted to the conditions of Northern Kazakhstan. The best ability to increasing the milk yield, stable lactation activity, high milk productivity, gross content of dry matter and nonfat milk solids have been characterized by the daughters of sires of the American selection Orbit 4078 and Lowrider 4129. Analysis of economic indicators of milk production has been shown that from cows – daughters of sires Orbit 4078 and Lowrider 4129 for 305 days of lactation received 15,8 and 15,2 % more milk of base fat, the expenditures of EFU per 1 kg of production was lower by 10,2 and 5,9 %. A higher level of profitability has been observed in the group of daughters of the sires Orbit 4078 – 35,5 % and Lowrider 4129 – 33,1 %, which was 8,5 and 10,8 % higher than in the group of daughters of the sire Yamal 975.


2013 ◽  
Vol 347-350 ◽  
pp. 3505-3509 ◽  
Author(s):  
Jin Huang ◽  
Wei Dong Jin ◽  
Na Qin

In order to reduce the difficulty of adjusting parameters for the codebook model and the computational complexity of probability distribution for the Gaussian mixture model in intelligent visual surveillance, a moving objects detection algorithm based on three-dimensional Gaussian mixture codebook model using XYZ color model is proposed. In this algorithm, a codebook model based on XYZ color model is built, and then the Gaussian model based on X, Y and Z components in codewords is established respectively. In this way, the characteristic of the three-dimensional Gaussian mixture model for the codebook model is obtained. The experimental results show that the proposed algorithm can attain higher real-time capability and its average frame rate is about 16.7 frames per second, while it is about 8.3 frames per second for the iGMM (improved Gaussian mixture model) algorithm, about 6.1 frames per second for the BM (Bayes model) algorithm, about 12.5 frames per second for the GCBM (Gaussian-based codebook model) algorithm, and about 8.5 frames per second for the CBM (codebook model) algorithm in the comparative experiments. Furthermore the proposed algorithm can obtain better detection quantity.


2021 ◽  
Vol 4 (3) ◽  
pp. 11-18
Author(s):  
Khakimjon Zaynidinov ◽  
◽  
Odilbek Askaraliyev

The article discusses the selection of parameters for the algorithm for determining binary data arrays included in the control system, developed by the authors using independent substitution methods. Based on the analysis of the algorithms of non-cryptographic hash functions, the hash function based on the linear matching method was selected as the basis for independent substitution methods. Simplified schemes of algorithms developed for creating and comparing identifiers using a set of basic hash functions are given. An array of binary data was selected and based on the appropriate values for the size of the divisible blocks and the number of basic hashfunctions used for independent substitutions. The selection of binary data arrays in information systems integrated into the management system was done for the purpose of intellectual processing of incoming data. The properties of the array of data entering integrated systems are studied. The authors conducted experimental tests in the selected direction and presented the results of similarity assessment measurements for various parameters of the identification algorithm. In addition, the article conductedexperiments on the object of study using the selected mathematical model, based on the analytical conclusions. Initiator elements are studied and analyzed using a set of hash functions. An algorithm for comparison of selected identifiers has been developed. A generation algorithm has been developed to demonstrate and test the proposed solution. Algorithms based on analysis and experiments, and methods for selecting binary data arrays using the ash function have been experimentally tested. Based on the results, the indicators are shown. Based on the results obtained, the analytical conclusions and problem solutions of the research work were recognized


2014 ◽  
Vol 60 (1) ◽  
pp. 53-64 ◽  
Author(s):  
Tomasz Kryjak ◽  
Mateusz Komorkiewicz ◽  
Marek Gorgon

Abstract The article presents a hardware implementation of the foreground object detection algorithm PBAS (Pixel-Based Adaptive Segmenter) with a scene analysis module. A mechanism for static object detection is proposed, which is based on consecutive frame differencing. The method allows to distinguish stopped foreground objects (e.g. a car at the intersection, abandoned luggage) from false detections (so-called ghosts) using edge similarity. The improved algorithm was compared with the original version on popular test sequences from the changedetection.net dataset. The obtained results indicate that the proposed approach allows to improve the performance of the method for sequences with the stopped objects. The algorithm has been implemented and successfully verified on a hardware platform with Virtex 7 FPGA device. The PBAS segmentation, consecutive frame differencing, Sobel edge detection and advanced one-pass connected component analysis modules were designed. The system is capable of processing 50 frames with a resolution of 720 × 576 pixels per second


Author(s):  
S. Srinivasan ◽  
S. P. Alampalayam

Mobile ad hoc networks (MANET) present the opportunity to connect transient nodes to the internet without having central control. This very design supports new nodes to join and leave the network based on their proximity to the MANET. Concurrently, it creates many security challenges for authenticating nodes that are not present in a traditional wired network. Much of the existing work on MANET security has focused on routing and mobility. In this paper, the authors present an algorithm that considers the neighboring nodes’ status to determine if a particular node is malicious or not. The authors used NS2 simulation tool to test the algorithm and present the results in the paper. The major benefits of this research work are in military applications.


Author(s):  
Yang Liu ◽  
Lingyu Sun ◽  
Lijun Li ◽  
Yiben Zhang ◽  
Zongmiao Dai ◽  
...  

Edge detection plays an increasingly critical role in image process community, especially for moving object identification problems. For this case, the target object can be captured straightly via the edges beside which there is an obvious jump of grey value or texture. Nowadays, Canny operator has gained great popularity as it shows higher anti-noise performance and presents better detection accuracy in comparison with other edge detection operators like Robert’s, Sobel’s, Prewitt’s etc. However, the Gaussian filter associated with the classic Canny operator is sometimes too simple to decrease the all-type-noise. Additionally, in order to enhance the detection accuracy and lower the pseudo-edges detection ratio, two thresholds, high and low, are chosen artificially which have actually limited the adaptability of the algorithm. In this work, a compound filter, Gaussian-Median filter, is proposed to improve the smoothing effect. The self-adaptive multi-threshold Otsu algorithm is realized to determine the high/low threshold automatically according to the grey value statistic. Image moment method is conducted on basis of the detected moving object edges to locate the centroid and to compute the principal orientation. The experimental results based upon locating the edges of both static and moving objects proved the good robustness and the excellent accuracy of the proposed method.


2002 ◽  
Vol 7 (1) ◽  
Author(s):  
S. B. PINTO ◽  
V. THOMAZ-SOCCOL ◽  
R. ROCHADELLI ◽  
R. R. ANDRADE ◽  
C. R. MONTANUCCI

O presente trabalho foi desenvolvido na UFPR - Campus Palotina e em três propriedades rurais do município de Palotina, Paraná, durante o período de setembro de 1997 a agosto de 1999. O experimento foi delineado com o objetivo de estudar possíveis marcadores (parasitológicos e hematológicos) que refletem a habilidade do gado de leite (raça Holandesa Preto e Branco) em resistir à parasitose por larvas de Dermatobia hominis (Linnaeus Jr., 1781). Um total de 1050 larvas de D. hominis foram expulsas por meio de compressão digital. Os maiores valores de contagem total de leucócitos foram observados nos animais que apresentaram o menor número de nódulos de larvas de D. hominis. Study of parasitological and hematological markers for the selection of dermatobiose resistant bovines Abstract The present research work has been carried out from September 1997 through August 1999 at Federal University of Paraná Palotina Campus and in three farms from the same County. The main aim of this study was to analyze the possible parasitological and hematological markers that reflect Black and White Holstein dairy cattle resistance towards parasitism by Dermatobia hominis (Linnaeus Jr, 1781) larvae. From the group of 14 experimental animals a total of 1050 D. hominis were collected by manual compression during the period of time of the experiment. From the hematological data it was possible to conclude that there was an inverse relationship between the total leucocytes counting values and the number of larvae nodules, so that the highest the number of leucocytes per l of blood, the lowest the number of larvae nodules.


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