Performance Evaluation of Visual Therapy Method Used for Cerebral Palsy Rehabilitation

2018 ◽  
Vol 8 (9) ◽  
pp. 1804-1818 ◽  
Author(s):  
P. Illavarason ◽  
J. Arokia Renjit ◽  
P. Mohan Kumar

Cerebral Palsy (CP) is a non progressive neurological disorders commonly associated with a spectrum of developmental disabilities such as strabismus (misalignment of eye). In this study, by quantitatively assess the performance analysis of Visual Therapy Method used for CP children. By capturing the Eye Movement of 25 children with CP (aged 3–15 years) with relatively mild motor-impairment and also analyzed the performance of CP children periodically. The Eye image are captured through camera, this make the quick diagnosis and examination the periodical assessment of CP kids. By Visual Therapy Function the CP children vision improvement develops as fast as or even faster. Proposed area of the research segments the eye image into Pupil, Iris, Eyelids and Eye corner detection using different image processing algorithms as well as measure the deviation position of pupil for abnormal eyes taking the normal eye as the reference or threshold value. To further enhance these compare deviation Position of the normal and the abnormal eyes and to find the severity affection of abnormal eye and to measure the performance improvement achievement by Visual Therapy Method for CP rehabilitation. The improvement analyzed for CP kids were maintained and recorded for the periodical month of Initial, 6th and 12th month. As a result, the Physicians can use this report to guide the CP kids in Rehabilitation Center and also this image processing technique offers the greater flexibility for the prospective subjects of improvement in CP Rehabilitation by Visual Therapy Method. In this context, Image processing techniques are being recommended as a performance evaluation tool in children with CP and each of these processes are suggesting method for developing a more systematic understanding of Oculomotor abnormalities.

Author(s):  
Yasushi Kokubo ◽  
Hirotami Koike ◽  
Teruo Someya

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.


Author(s):  
J. Magelin Mary ◽  
Chitra K. ◽  
Y. Arockia Suganthi

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.


Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal

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.


2012 ◽  
Vol 19 (5) ◽  
pp. 1168-1174
Author(s):  
Li-Zhou ZHANG ◽  
Xiao-Yu HOU ◽  
Yu-Ming ZHANG ◽  
Hong-Jun LI ◽  
Yi-Song CHENG ◽  
...  

2010 ◽  
Vol 18 (6) ◽  
pp. 1340-1344
Author(s):  
Li-Zhou ZHANG ◽  
Dian-Wu WANG ◽  
Yu-Ming ZHANG ◽  
Yi-Song CHENG ◽  
Hong-Jun LI ◽  
...  

2021 ◽  
Vol 1088 (1) ◽  
pp. 012049
Author(s):  
Nor Salwa Damanhuri ◽  
Mohammad Faiz Mohammad Zamri ◽  
Nor Azlan Othman ◽  
Sarah Addyani Shamsuddin ◽  
Belinda Chong Chiew Meng ◽  
...  

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