ENHANCEMENT TECHNIQUES FOR MRI HUMAN SPINE IMAGES

2015 ◽  
Vol 77 (6) ◽  
Author(s):  
Aqilah Baseri Huddin ◽  
W Mimi Diyana W Zaki ◽  
Agnes Chung Wai Mun ◽  
Ling Chei Siong ◽  
Hamzaini Abdul Hamid
Keyword(s):  
Magnetic Resonance Image ◽  
Discrete Wavelet ◽  
Mr Images ◽  
Image Preprocessing ◽  
Image Processing Techniques ◽  
Human Spine ◽  
Human Soft Tissue ◽  
Herniated Disk ◽  
Processing Techniques

The quality of Magnetic Resonance Image (MRI) determines the accuracy of clinical diagnosis. It provides information about the human soft tissue anatomy. MRI of spine is used by the physicians to evaluate any presence of diseases including slipped disk, herniated disk, trauma and disk degeneration. Existence of noises and artifacts can degrade the quality of the MR images. Thus, appropriate image processing techniques may help to improve the quality of the acquired image. Preprocessing is usually done to remove the noise, enhance an image boundary and adjust the image contrast. Current techniques to enhance and reduce noise in MRI human spine are discussed and a method using discrete wavelet transform to enhance the MRI of human spine is proposed. The resultant images are evaluated quantitatively. This study shows that the proposed method has better results as compared to other existing method based on evaluation tests. 

scholarly journals Clay-Based Brick Porosity Estimation Using Image Processing Techniques

2019 ◽  
Vol 29 (1) ◽  
pp. 1226-1234
Author(s):  
Safa Jida ◽  
Hassan Ouallal ◽  
Brahim Aksasse ◽  
Mohammed Ouanan ◽  
Mohamed El Amraoui ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Computer Vision ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Porosity Estimation ◽  
Microscopy Images ◽  
Scanning Electron

Abstract This work intends to apprehend and emphasize the contribution of image-processing techniques and computer vision in the treatment of clay-based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with “kill or cure” effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-based porosity estimation.

Image Sharpness and Contrast Tuning in the Early Visual Pathway

2017 ◽  
Vol 27 (08) ◽  
pp. 1750045 ◽  
Author(s):  
Eduardo Sánchez ◽  
Rubén Ferreiroa ◽  
Adrián Arias ◽  
Luis M. Martínez
Keyword(s):  
Functional Organization ◽  
Ganglion Cells ◽  
Receptive Fields ◽  
Local Contrast ◽  
Retinal Ganglion ◽  
Image Sharpness ◽  
Image Processing Techniques ◽  
Thalamic Relay ◽  
Processing Techniques

The center–surround organization of the receptive fields (RFs) of retinal ganglion cells highlights the presence of local contrast in visual stimuli. As RF of thalamic relay cells follow the same basic functional organization, it is often assumed that they contribute very little to alter the retinal output. However, in many species, thalamic relay cells largely outnumber their retinal inputs, which diverge to contact simultaneously several units at thalamic level. This gain in cell population as well as retinothalamic convergence opens the door to question how information about contrast is transformed at the thalamic stage. Here, we address this question using a realistic dynamic model of the retinothalamic circuit. Our results show that different components of the thalamic RF might implement filters that are analogous to two types of well-known image processing techniques to preserve the quality of a higher resolution version of the image on its way to the primary visual cortex.

Commutation Sparking Image Monitoring for DC Motor

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Fei Hu ◽  
Qingbo He ◽  
Jianping Wang ◽  
Zhigang Liu ◽  
Fanrang Kong
Keyword(s):  
Dc Motor ◽  
Characteristic Parameters ◽  
Image Preprocessing ◽  
New Approach ◽  
Image Processing Techniques ◽  
The Status ◽  
Image Monitoring ◽  
Motor Condition ◽  
Processing Techniques ◽  
The Relationship

As one of the most important parameters in evaluating the status of a DC motor, commutation spark has been widely used in condition monitoring and fault diagnosis. A new approach using image processing techniques on the commutation spark has been proposed. Advantageous over other methods using partial spark information, the details about the motor condition can be comprehensively retained and extracted from the sparking images. The sparking images were obtained by the cameras, which were fixed at the certain sites in DC motor beforehand. The images were processed through the sparking image preprocessing, segmentation, enhancement, and feature extraction. Comparing the characteristic parameters of the sparking image with the result of the subjective grading, the relationship between the parameters and the sparking grades had been analyzed to monitor the DC motor. The effectiveness had been demonstrated by application examples.

scholarly journals Implementation of Novel Image Restoration Technique from High Density Impulse Noise through Adaptive Max-Min Filter

2019 ◽  
Vol 9 (2) ◽  
pp. 2326-2328
Keyword(s):  
Impulse Noise ◽  
Nonlinear Filter ◽  
High Density ◽  
Significant Feature ◽  
Salt And Pepper Noise ◽  
Image Processing Techniques ◽  
Restoration Technique ◽  
Processing Techniques ◽  
Salt And Pepper

Noise is ardent factor that reduces the quality of any system, disturbing the corresponding output. This is very noticeable especially in image processing techniques, wherein the image output is distorted to a very large extent. To reduce the effect of noise and to improve the quality of any image, it is mandatory to completely remove high density salt-and-pepper impulse noise. The salt-and –pepper impulse noise is a major hindrance that has to be eliminated by restoring the image using a specialized method that applies to all noise pixels. Involving edge protection and noise control, significant improves image quality compared to those restored by using just a nonlinear filter. The significant feature of the proposed idea is that removal of salt-and-pepper-noise as high as 95%.is obtained.

scholarly journals Dynamic Analysis of Mechanical Systems Using Image Processing

2021 ◽  
Vol 15 ◽  
pp. 56-60
Author(s):  
Juan D. Pérez ◽  
Diego A. Hincapié ◽  
Jonathan A. Graciano
Keyword(s):  
Image Processing ◽  
Correct Operation ◽  
Image Processing Techniques ◽  
Cad Cam ◽  
Substantial Progress ◽  
Object Of Study ◽  
Processing Techniques ◽  
Type Of Failure ◽  
Dynamic Variables

Thanks to the fact that nowadays substantial progress has been made in new ways of analyzing our environment using image processing techniques, it is imperative to highlight the importance of applying this methodology to mechanisms, which are our object of study and these elements are present in various sectors, such as industrial, automotive, academic, etc. In the previously mentioned sectors, the mechanisms are a fundamental element for the correct operation of the devices that each sector has. Therefore, knowing the dynamic behavior of the mechanisms is an essential task, since, if any type of failure occurs, it could cause damage to an entire process. The article proposes to develop a methodology that allows the analysis of dynamic variables in different types of mechanisms, through the use of image processing techniques specifically the detection, filtering and tracking of objects, using filters such as the Gaussian filter and background subtraction in order to improve the quality of the information to be analyzed. The results obtained through the application of the proposed methodology were compared with a simulation of a CAD/CAM/CAE software, in this case Siemens NX 12®, these results were satisfactory under certain criteria that will be exposed in the analysis section, thanks to this it can be affirmed that the proposed methodology is acceptable at the time of knowing the dynamic variables in mechanisms

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

Early Detection of Breast Cancer Using Image Processing Techniques

2018 ◽  
pp. 54-71
Author(s):  
Amutha S. ◽  
Ramesh Babu D. R.
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Early Stage ◽  
Imaging Modalities ◽  
Image Processing Techniques ◽  
Accurate Detection ◽  
Magnetic Resonance Imaging Mri ◽  
Digital Image Enhancement ◽  
Processing Techniques

Breast cancer is the second leading cause of death among women according to Cancer Facts and Figures. In order to increase the survival rate of women due to breast cancer, early and accurate detection of breast cancer is very essential. The quality of the image acquired through different breast imaging modalities: mammography, ultrasonography, and magnetic resonance imaging (MRI) have drawbacks which reduces the efficiency of accurate detection. As per the literature survey, the quality of the image acquired through the breast imaging modalities is not optimal for the accurate detection of cancer at the early stage. Digital image enhancement methods have been widely used in radiology in order to enhance the image quality. Considerable research has been undertaken in the development of enhancement of the image to assist radiologists in the identification of breast abnormalities. In order to further improve the efficiency of detection, diagnosis, and treatment of cancer, the quality of the image has to be improved.

Mathematical models for some problems in textile engineering and its corresponding discussions

2014 ◽  
Vol 05 (02) ◽  
pp. 1350030
Author(s):  
Li Zhang ◽  
Xinhua You ◽  
Jun Chen ◽  
Liang Zhang
Keyword(s):  
Image Processing ◽  
Cluster Analysis ◽  
Textile Industry ◽  
Programming Algorithm ◽  
Support Vector ◽  
Support Vector Machine Algorithm ◽  
Image Processing Techniques ◽  
Chinese Industry ◽  
Processing Techniques

Textile industry is very important to the development of Chinese industry and economy. Image processing techniques are beneficial to improve the quality of cotton goods. Suitable blending ratio of yarn is good for it. It is significant to measure the blending ratio of yarn in the practice of textile engineering. Combined with results done by other scholars, this paper uses the concepts of acreage index, abnormity index and fluctuation index. Based on these morphologic indices, it is convenient to construct corresponding eigenvector and to discuss useful mathematical method for the cluster analysis during the measurement of the blending ratio. This paper also sets up some kinds of nonlinear optimization model for the problem. Using classical integer programming algorithm, support vector machine algorithm and genetic algorithm to the problem, we get fine results for cluster analysis. Finally, we give out another problem of image processing and have some discussions about it.

scholarly journals Research on Germination Prediction and Varietal Classification for Rice Seed Quality

2019 ◽  
Vol 9 (1) ◽  
pp. 3956-3959
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Seed Quality ◽  
Germination Rate ◽  
Rice Seed ◽  
Image Processing Techniques ◽  
Varietal Classification ◽  
Processing Techniques

In agriculture most of the task done manually by experienced persons. They made decision on the basis of what they feel and see. The prediction result also not giving expected results. For getting the best yield the selection of quality seed is mandatory. But the manual analysis cannot assure the best quality seed. Rice Seed quality estimation can be done by considering the textural features of rice seed image. For this we are going to propose Digital Image processing Techniques to classify and grade the quality of the seed. There are number of digital image processing techniques proposed for classifying the variety of seed and predicting the germination rate of seed. In this paper we are going to summarize the hardware setup, varieties, features extracted, methods or algorithms used and result they obtained. In future we are going to propose a simple grading system for the rice seed quality system can be used by formers.

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