A Comparative Study of Ant and Genetic Algorithms in Digital Mammography

2018 ◽  
pp. 194-200
Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi
Keyword(s):  
Genetic Algorithm ◽  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Computational Time ◽  
Image Mining ◽  
The Individual

Image processing technique in general, involves the application of signal processing on the input image for isolating the individual color plane of an image. It plays an important role in the image analysis and computer version. This paper compares the efficiency of two approaches in the area of finding breast cancer in medical image processing. The fundamental target is to apply an image mining in the area of medical image handling utilizing grouping guideline created by genetic algorithm. The parameter using extracted border, the border pixels are considered as population strings to genetic algorithm and Ant Colony Optimization, to find out the optimum value from the border pixels. We likewise look at cost of ACO and GA also, endeavors to discover which one gives the better solution to identify an affected area in medical image based on computational time.

A Multi-Functional Interactive Image Processing Tool for Lung CT Images

2013 ◽  
Vol 2 (1) ◽  
pp. 1-11 ◽  
Author(s):  
V. Vijaya Kishore ◽  
R. V. S. Satyanarayana
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Computer Aided Detection ◽  
Selected Lines ◽  
Spine Ct ◽  
User Friendly ◽  
Lung Ct

An important requirement for clinical diagnosis and treatment is a platform for medical image processing technique that is more flexible and accurate. An interactive image processing method that can be used as a Computer Aided Detection (CAD) tool for medical image processing is proposed in this paper. The tool is developed in MATLAB to read images of different formats like tif, jpg, DICOM etc. The tool is also capable of displaying information about the loaded image of the selected format, read and save images from and to workspace. In addition to this user can use functional tools like determining the value of pixel in the image, obtain histogram, horizontal and vertical profiles of selected lines of the image, color maps of CT window that include CT bone, CT spine, CT mediastinal, auto adjustment of global intensity and selective intensity, image smoothening, manual and auto thresholding. All the mentioned functions are integrated in Graphical User Interface which is user friendly.

scholarly journals An Image Processing Based Fungus Detection System for Mangoes

2019 ◽  
Vol 9 (1) ◽  
pp. 3493-3497
Keyword(s):  
Image Processing ◽  
Detection System ◽  
Health Problems ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
High Yield ◽  
Data Set ◽  
Different Color ◽  
The Given

Fruits which grow with high yield in many states of India are rich in proteins. But due to addition of excess pesticides and chemicals intake of these fruits lead to serious health problems. It is necessary to identify the presence of chemical in the fruits before consuming it. In this project we have planned to develop an image processing technique to analyze whether the fruit is free from chemicals and fungus. In our paper, we have implemented MATLAB used as well as fungus present in the fruit. We capture the images of the fruit or we use datasets and train the database with different color-based changes that happen after adding chemicals to the fruit. The enhancement process is carried out in the captured image. Then image is segmented to hit the regions with affected spots in the fruit. K-means method is used to carry out the segmentation process. The input image is compared with the given data set for training to identify the images. In this way unhealthy fruits can be identified and the affected spots in the fruit can be detected.

scholarly journals Image processing technique in the study of cell structures of biomedical data

2019 ◽  
pp. 63-66
Author(s):  
В.В. Ляшенко ◽  
O.A. Кобилін ◽  
O.I. Рязанцев ◽  
I.O. Рязанцев
Keyword(s):  
Image Processing ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Cellular Structures ◽  
Biomedical Data ◽  
Processing Methods ◽  
Additional Information ◽  
Cell Structures ◽  
Different Color

Image processing methods are used in all areas of research. These methods provide additional information, a better understanding of the object that is being studied. Among the areas of using image processing methods, medicine occupies a special place. Biomedical data allow us to assess human health, to identify diseases in the early stages. Images of cellular structures of cytological preparations are one of the examples of biomedical data. Based on image analysis methods, we can isolate various components of cellular structures of cytological preparations. To do this, we apply the methods of wavelet analysis for different color components of the input image. Applying morphological analysis, we can identify individual cellular structures. The results are shown on the example of images of cellular structures of cytological preparations.

scholarly journals Eyeball Controlled Wheelchair

2020 ◽  
pp. 238-247
Keyword(s):  
Image Processing ◽  
The Elderly ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Raspberry Pi ◽  
Indoor Space ◽  
Driver Circuit ◽  
The Individual ◽  
Driving Circuit ◽  
Eye Gesture

: A basic wheelchair is a gadget for people influenced by moderate, extreme physical incapacities and interminable disease. It is also meant for the elderly people. Many people with disabilities cannot manage the energized wheelchair operating joystick, sound, furthermore, hand developments as it is harder for the individual to do such specific tasks also it is programming focused. This strategy comprises of equipment which reduces the person's work utilizing the image processing method. This model comprised of a camera that tracks the eyeball movement and hence the position of the pupil by the image processing technique. And thereby the wheelchair is constrained by a user’s eye gesture in an indoor space. When the development has been initiated and it is given to the Raspberry pi for processing. The procedure relies on the feed coding and an output is given into the driver circuit. Likewise, the hindrance location sensors will be associated as an Emergency Brake that gives necessary conditions for the conventional activity of the wheelchair framework. Every one of the four wheels are associated with a driving circuit that moves the wheelchair

Review on 2D and 3D MRI Image Segmentation Techniques

2019 ◽  
Vol 15 (2) ◽  
pp. 150-160 ◽  
Author(s):  
S. Shirly ◽  
K. Ramesh
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Medical Image ◽  
Medical Diagnostics ◽  
Processing Technique ◽  
Image Features ◽  
Medical Image Segmentation ◽  
Image Processing Technique ◽  
Edge Based ◽  
Mri Image

Background: Magnetic Resonance Imaging is most widely used for early diagnosis of abnormalities in human organs. Due to the technical advancement in digital image processing, automatic computer aided medical image segmentation has been widely used in medical diagnostics. </P><P> Discussion: Image segmentation is an image processing technique which is used for extracting image features, searching and mining the medical image records for better and accurate medical diagnostics. Commonly used segmentation techniques are threshold based image segmentation, clustering based image segmentation, edge based image segmentation, region based image segmentation, atlas based image segmentation, and artificial neural network based image segmentation. Conclusion: This survey aims at providing an insight about different 2-Dimensional and 3- Dimensional MRI image segmentation techniques and to facilitate better understanding to the people who are new in this field. This comparative study summarizes the benefits and limitations of various segmentation techniques.

Segmentation of White Blood Cell Nucleus Using Active Contour

2015 ◽  
Vol 74 (6) ◽  
Author(s):  
Nurhanis Izzati Che Marzuki ◽  
Nasrul Humaimi Mahmood ◽  
Mohd Azhar Abdul Razak
Keyword(s):  
Image Processing ◽  
Blood Cell ◽  
White Blood Cell ◽  
Active Contour ◽  
Processing Technique ◽  
Input Image ◽  
Image Processing Technique ◽  
Contour Method ◽  
Automated Diagnosis ◽  
Parameter Values

Image processing comes with various techniques. It uses a series of framework to transform an input image into an output image. In recent times, image processing technique has been extensively used in medical area. In order to overcome the problems of manual diagnosis in identifying the morphology of blood cells, the automated diagnosis is often used. Manual diagnosis required the observation of blood sample by expert hematologist and pathologist. This method may suffer from the presence of non-standard precision of human visual inspection. Due to this problem, this paper focused on semi-automated diagnosis that used image processing technique to perform the segmentation of the nucleus in white blood cell (WBC). Several image processing techniques are used including the active contour method. The results obtained are based on the parameter values obtained from segmentation process. The parameter value is calculated from the roundness equation. The value of 0.80 can be used to describe as a single leukocyte. 

scholarly journals A Scientific Analysis to Observe Uniqueness in Lip Print Pattern

2021 ◽  
Vol 10 (4) ◽  
pp. 196-198
Author(s):  
N. B. Pushpa ◽  
N.B. Prajwala
Keyword(s):  
Image Processing ◽  
Face Recognition ◽  
Processing Technique ◽  
Individual Characteristics ◽  
Image Processing Technique ◽  
Forensic Investigation ◽  
Scientific Analysis ◽  
Investigation Technique ◽  
Palm Print ◽  
The Individual

Every individual have their unique identification like palm print, signature, finger print, face recognition, lip print etc.. here in this research one such effort is made to analyses lip print and identify the individual using their lip print. The wrinkle and grooves pattern on the lips has individual characteristics like tongue prints, face recognition, iris pattern, fingerprints. Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Image processing technique is used, lip print of the individual is captured, processed and analyzed for conclusion.

A New Image Processing Technique for STEM

1974 ◽  
Vol 32 ◽  
pp. 432-433
Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Elastic Scattering ◽  
Field Emission ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Energy Analyzer ◽  
Scanning Microscope ◽  
Scanning Electron

One of the advantages of scanning electron microscopy is the capability for processing the image contrast, i.e., the image processing technique. Crewe et al were the first to apply this technique to a field emission scanning microscope and show images of individual atoms. They obtained a contrast which depended exclusively on the atomic numbers of specimen elements (Zcontrast), by displaying the images treated with the intensity ratio of elastically scattered to inelastically scattered electrons. The elastic scattering electrons were extracted by a solid detector and inelastic scattering electrons by an energy analyzer. We noted, however, that there is a possibility of the same contrast being obtained only by using an annular-type solid detector consisting of multiple concentric detector elements.

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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