scholarly journals Analysis the digital images by using morphology operators

2021 ◽  
Vol 24 (3) ◽  
pp. 1654
Author(s):  
Hadeel Amjed Saeed ◽  
Sumaya Hamad ◽  
Azmi Tawfik Hussain
Keyword(s):  
Digital Images ◽  
Color Image ◽  
Variable Number ◽  
Gray Scale ◽  
Original State ◽  
The One

In this paper, we deal with morphology images that try to improve the use of images. On the one hand, the process is used to obtain the histogram of the image then converted it into a non-color image (gray scale). The next step is to perform the erosion, dilation, open and close operations on the images, how these methods have important effects, and how can be used on a variable number of images, and found the differences between them. These operations were applied on four different images, check images, four basic operations (dilation, erosion, open and close) for each image were performed. Then, retrieving process to the original state of the image (the colored copy) was applied. The results found that retrieving the original images is difficult, and there is the occurrence of some noises on the image when it was retrieved. Finally, conclusions of the work are presented.

G-quadtree: A hierarchical representation of gray-scale digital images

1986 ◽  
Vol 2 (4) ◽  
pp. 219-226 ◽  
Author(s):  
Tosiyasu L. Kunii ◽  
Issei Fujishiro ◽  
Xiaoyang Mao
Keyword(s):  
Digital Images ◽  
Gray Scale ◽  
Hierarchical Representation

scholarly journals The Colonisation of Calves in Czech Large-Scale Dairy Farms by Clonally-Related Clostridioides difficile of the Sequence Type 11 Represented by Ribotypes 033 and 126

2020 ◽  
Vol 8 (6) ◽  
pp. 901
Author(s):  
Martina Masarikova ◽  
Ivana Simkova ◽  
Martin Plesko ◽  
Veronika Eretova ◽  
Marcela Krutova ◽  
...  
Keyword(s):  
Large Scale ◽  
Variable Number Tandem Repeat ◽  
Dairy Farms ◽  
Variable Number ◽  
Sequence Type ◽  
The Czech Republic ◽  
Holstein Breed ◽  
Clostridioides Difficile ◽  
Faecal Samples ◽  
The One

To investigate a possible Clostridioides difficile reservoir in the Czech Republic, we performed a study in 297 calves from 29 large-scale dairy farms. After enrichment, faecal samples were inoculated onto selective agar for C. difficile. From the 297 samples, 44 C. difficile isolates were cultured (prevalence of 14.8%, 10 farms). The Holstein breed and use of digestate were associated with C. difficile colonisation (p ˂ 0.05). C. difficile isolates belonged to the ribotype/sequence type: RT033/ST11 (n = 37), RT126/ST11 (n = 6) and RT046/ST35 (n = 1). A multiple-locus variable-number tandem-repeat analysis revealed four clonal complexes of RT033 isolates and one clonal complex of RT126 isolates. All isolates were sensitive to amoxicillin, metronidazole and vancomycin. Forty isolates were resistant to ciprofloxacin, twenty-one to clindamycin, seven to erythromycin, seven to tetracycline and six to moxifloxacin. Moxifloxacin resistant isolates revealed an amino-acid substitution Thr82Ile in the GyrA. In conclusion, the calves of Holstein breed from farms using digestate as a product of bio-gas plants are more likely to be colonised by clonally-related C. difficile of ST 11 represented by ribotypes 033 and 126. The identified resistance to moxifloxacin with a Thr82Ile substitution in the GyrA highlights the need for further monitoring by the “One health approach”.

scholarly journals Machine learning methods for soil moisture prediction in vineyards using digital images

2020 ◽  
Vol 167 ◽  
pp. 02004
Author(s):  
Chantal Saad Hajjar ◽  
Celine Hajjar ◽  
Michel Esta ◽  
Yolla Ghorra Chamoun
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Regression Models ◽  
Digital Images ◽  
Pearson Correlation ◽  
Support Vector ◽  
Learning Methods ◽  
Nonlinear Regression Models ◽  
Machine Learning Methods ◽  
The One

In this paper, we propose to estimate the moisture of vineyard soils from digital photography using machine learning methods. Two nonlinear regression models are implemented: a multilayer perceptron (MLP) and a support vector regression (SVR). Pixels coded with RGB colour model extracted from soil digital images along with the associated known soil moisture levels are used to train both models in order to predict moisture content from newly acquired images. The study is conducted on samples of six soil types collected from Chateau Kefraya terroirs in Lebanon. Both methods succeeded in forecasting moisture giving high correlation values between the measured moisture and the predicted moisture when tested on unknown data. However, the method based on SVR outperformed the one based on MLP yielding Pearson correlation coefficient values ranging from 0.89 to 0.99. Moreover, it is a simple and noninvasive method that can be adopted easily to detect vineyards soil moisture.

scholarly journals INSURANCE RISK WITH VARIABLE NUMBER OF POLICIES

2008 ◽  
Vol 22 (2) ◽  
pp. 213-219
Author(s):  
Ivo Adan ◽  
Vidyadhar Kulkarni
Keyword(s):  
Life Insurance ◽  
Poisson Model ◽  
Variable Number ◽  
Insurance Fund ◽  
Insurance Company ◽  
Insurance Risk ◽  
Constant Rate ◽  
Remarkable Result ◽  
New Policies ◽  
The One

In this article we consider an insurance company selling life insurance policies. New policies are sold at random points in time, and each policy stays active for an exponential amount of time with rate μ, during which the policyholder pays premiums continuously at rate r. When the policy expires, the insurance company pays a claim of random size. The aim is to compute the probability of eventual ruin starting with a given number of policies and a given level of insurance fund. We establish the remarkable result that the ruin probability is identical to the one in the standard compound Poisson model where the insurance fund increases at constant rate r and claims occur according to a Poisson process with rate μ.

scholarly journals Content Based Image Retrieval for Community Retrieval from Given Nationality using an Efficient Combination Algorithm

2019 ◽  
Vol 9 (1) ◽  
pp. 3003-3007
Keyword(s):  
Feature Vector ◽  
Color Image ◽  
Query Image ◽  
Image Histogram ◽  
Orientation Histogram ◽  
Efficient Integration ◽  
Canberra Distance ◽  
The One ◽  
Internet Databases ◽  
State Of Art

There is tremendous requirement of such technique which can fulfill the entire requirement for retrieval of an image from available dataset which comes under computer vision. In this paper we discussed about the one of the application of CBIR using an efficient combination of two techniques. The application is retrieval of people images from database that comes under minority. In this paper we used an efficient combination of color image histogram technique and edge orientation histogram technique by dividing original image into small subblocks. The feature vector is formed by combination of two features obtained by above methodologies. The final features obtained by query image will be compared with the feature vector of database images using a new Canberra Distance classifier. Proposed method is designed for multiple self-prepared and some collected from internet databases. Our method includes the efficient integration of features such as color, texture, shape and orientation. The proposed method is compared with state of art techniques to prove the stable and highest accuracy of proposed work.

scholarly journals Is Elastography Useful in Assessing Necrotizing Enterocolitis in Rats?

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Kadir Oymen Hancerliogullari ◽  
Alptekin Tosun
Keyword(s):  
Necrotizing Enterocolitis ◽  
Terminal Ileum ◽  
Color Image ◽  
Ultrasound Elastography ◽  
Diagnosis And Treatment ◽  
Control Group ◽  
Tissue Stiffness ◽  
Gray Scale ◽  
Reliable Technique ◽  
Linear Probe

Background: Necrotizing enterocolitis (NEC) is among the most common and destructive diseases in the neonatal period. Imaging methods are important in the early diagnosis and treatment of such diseases. Ultrasound elastography (USE) is a fast and non-invasive imaging technique that deals with the viscoelastic properties of tissues. Objectives: The purpose of this study is to assess the effectiveness of USE, which determines tissue stiffness with grayscale and colored images, as an imaging tool in the diagnosis and treatment of NEC. Materials and Methods: Sixteen newborn Wistar albino gender rats were separated into two groups including eight rats each. The first group (G-I) was taken as a control group and was not exposed to any intervention. The second group (G-II) was exposed to 100% CO2 for 5 minutes and 4°C for 10 minutes. All these interventions were applied twice per day for 4 days. We observed elastographic data at 24, 48, and 96 hours. All rats were sacrificed on the fourth day. The combination of gray-scale US and elastography was performed by a 4-13 MHz with an average of 12 MHz bandwidth linear probe in Esaote Ultrasonography Systems, MyLab60 model, produced in Geneva, Italy; with ElaXto imaging application. Results: Statistically significant differences were detected in elastosonography ratios of terminal ileum at 24, 48, and 96 hours (P < 0.05). As ischemia period in NEC was prolonged, elastosonographic ratios of intestinum increased significantly. Conclusion: It was found that USE is a reliable technique with superior features in the assessment of the terminal ileum in the neonatal age group. It is due to its wide image window and better assessment of tissue stiffness with gray scale and color image. It has been observed that the USE technique is helpful in the diagnosis.

scholarly journals Improving the Quality of Digital Images Using the Median Filter Technique to Reduce Noise

SinkrOn ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 143 ◽  
Author(s):  
Annas Prasetio ◽  
Paska Marto Hasugian
Keyword(s):  
Digital Images ◽  
Color Image ◽  
Median Filter ◽  
Image Data ◽  
Original Image ◽  
Matrix Kernel ◽  
Filter Technique ◽  
Image Histogram ◽  
Point Line

The combination of point, line, shape and color elements combined to create a physical imitation of an object is called an image. The arrangement of the box elements in the image forms pixels or matrices. each image experiences degradation or loss of quality called noise. The effect of gaussian noise is the number of colored dots that are equal to the percentage of noise. This study raises the topic of improving the quality of digital images using median filter techniques to reduce noise. In this study using color image data (Red Green Blue) as test data and then converted into grayscale images to determine the gray degree of the image. The grayscale image is stored in the database. Then noise is generated by using random numbers. Noise in the form of impulse can be positive or negative in the form of adding pixel values to the original image, or it can reduce the value of the original image. The noise type used is salt & pepper. Gray degrees 0-255 spread. Can be calculated through image histograms. To reduce noise the median filter technique is used. Image histogram as a measure of the spread of numbers from the median filter. The result is a median filter can reduce noise salt and pepper by using a matrix kernel.

A Digital Investigation Manifesting use of Geometric Stencils for the Drawing of Akrotiri Thera Prehistoric Wall Paintings

2011 ◽  
pp. 64-145
Author(s):  
Panayiotis Rousospoulos ◽  
Dimitris Arabadjis ◽  
Mihalis Exarhos ◽  
Michail Panagopoulos ◽  
Georgios Galanopoulos ◽  
...  
Keyword(s):  
Bronze Age ◽  
Curve Fitting ◽  
Digital Images ◽  
Late Bronze Age ◽  
Wall Paintings ◽  
Main Hypothesis ◽  
Fitting Method ◽  
Digital Investigation ◽  
Curve Fitting Method ◽  
The One

The present chapter deals with the problem of determining the method used to draw several celebrated and beautiful wall-paintings belonging to the Late Bronze Age (c. 1630 B.C.), that were excavated at Akrotiri, Thera, Hellas (Greece). First, the authors process the wall paintings’ digital images in order to extract the contour of their main thematic entities. Subsequently, a number of fundamental definitions are given and the main hypothesis is stated, namely that geometrical stencils were used for the drawing of the considered wall paintings. A first estimation of the probable one stoke parts of the contour is undertaken, based on curvature considerations and minimization of corresponding error functions. Next, they select families of geometrical curves as potential prototypes of the employed stencils. The selection is based on archaeological and historical criteria. A novel exhaustive curve fitting method is introduced that offers unambiguously optimal matching of two digital curves. Taking into consideration the previous stages, the exact values of the stencils’ parameters are determined. Finally, the hypothesis that stencils were used for the drawing of the considered wall paintings is supported substantially by a visual representation of the one stroke parts together with the corresponding stencil segments that generated them.

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