Medical Image Denoising With Various Noise Estimators Using Curvelet Transform

Vol.1  No.2

Year : 2014

Issue : Jun-Aug

Title : Medical Image Denoising With Various Noise Estimators Using Curvelet Transform

Author Name : Abha Choubey, Dr.G.R. Sinha, Sunil Naik

Synopsis :

Digital Imaging plays an essential role throughout the major regions of life such as clinical diagnosis. However, it faces the trouble of Gaussian noise. Noise corrupts both images and videos equally. The aim of Denoising algorithm must be to remove these kinds of noise. Image denoising should be used because a new noisy image is just not pleasant to watch. Inclusion of, some fine details in the image could possibly be confused with the noise or perhaps vice-versa. Image denoising is a critical task throughout Medical applications, where the complexity regarding noise is predominant, as well as, the contrast regarding medical images tend to be moreover low caused by various photograph acquisition. In the past two decades, denoising is completed by this multi-resolution change like Wavelet change. Denoising pictures using Curvelet change approach has been widely utilized in many fields with its ability to have highly excellent images. Curvelet change is better than wavelet in the expression regarding image advantage, because such geometry attribute of challenge, has obtained achievements now in photograph denoising in the medical field. Here, medical images are denoised with various noise estimators using Curvelet transform. These different noise estimators are compared and measured using image quality metrics such as Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental result proves to be a significant one.

For more details:

imanagerpublications.com

Arteriolar to Venular Diameter Ratio Analysis From Retinal Blood Vessels

Vol.1  No.2

Year : 2014

Issue : Jun-Aug

Title : Arteriolar to Venular Diameter Ratio Analysis From Retinal Blood Vessels

Author Name : Kalyana Sundaram, K. Gokulakrishnan

Synopsis :

In clinical diagnosis, the retinal images perform a very important role. Especially, Arteriolar to Venular Ratio (AVR) value is more necessary for the early detection of cardio vascular diseases like hypertension, coronary disease and few retinopathy Diseases. For the diagnosis of these diseases, the AVR must be calculated very accurately and it requires the correct method of vessel identification and also an accurate diameter measurement. In this paper, 'Graph Tracer Algorithm' is implemented for identifying the retinal blood vessel very precisely. The Naive Bayes classifier is used classifying these identified vessels into artery and vein. Finally, the AVR is calculated for these true vessels and the values are compared with the Gold standard AVR values.

For more details:

imanagerpublications.com

An Approach for Speech Recognition Technique

Vol.1  No.2

Year : 2014

Issue : Jun-Aug

Title : An Approach for Speech Recognition Technique

Author Name : suleman Basha, Rama Subbaiah, Rajendra Prasad

Synopsis :

The design of Speech Recognition system has careful attention in the following issues: classification of various types of speech classes, speech representation, and feature extraction techniques. The purpose of this paper is to summarize and compare some of the well known methods used in different stages of Speech Recognition system and identify research topic and applications which are at the front position of this stimulating and challenging field. Speech is the most famous and primary mode of communication among human beings. The communication among human and computer is called as human computer interface. Speech has been the important mode of interaction with computer . This paper gives an overview of major technological viewpoint and approval of the primary progress of speech recognition, and also gives an overview of the techniques developed in each stage of speech recognition.

For more details:

imanagerpublications.com

Human Age Estimation Through Face Synthesis : A Survey

Vol.1  No.2

Year : 2014

Issue : Jun-Aug

Title : Human Age Estimation Through Face Synthesis : A Survey

Author Name : SREEJIT PANICKER, Smita Selot , Manisha Sharma

Synopsis :

Human age prediction is useful for many applications. The age information could be used as a kind of semantic knowledge for analysis and understanding of various application domains. The facial image analysis for classifying human age has a vital role in image processing, pattern recognition, computer vision, cognitive science, and Forensic science. Age Specific Human Computer Interaction (ASHCI) has enormous prospects in daily life applications. However, more research has to be done on age estimation techniques. One of the main reasons is that, aging effects on human faces present several unique characteristics which make age estimation a challenging task. In this paper, we give a thorough analysis on the problem of facial aging in context to various approaches and summary of contributions in age estimation. We offer a comparative analysis of various approaches that have been proposed for facial feature extraction and facial aging.

For more details:

imanagerpublications.com

Efficient Real Time Inked Fingerprints Identification System

Vol.1  No.2

Year : 2014

Issue : Jun-Aug

Title : Efficient Real Time Inked Fingerprints Identification System

Author Name : Naga Raju C, Vijaya Kumar, Pradeep Kumar Reddy

Synopsis :

With the increase in technology threats to personal data, security has been increased. There was a need to introduce a technology that secures our data more efficiently from other unlawful intervention. Automatic Fingerprint Recognition Systems are more powerful and widely used for criminal identification and authentication. Automatic fingerprint recognition is an extremely critical process, especially in low quality and rotation invariant inked and scanned fingerprints because of the quality of ink and the way of finger impression on the surface of the paper or scanner. In this paper, an efficient real time fingerprint identification system for inked fingerprints has been addressed. This method ensures the quality of the fingerprint with greater matching reliability and efficiency.

For more details:

imanagerpublications.com

Disease Diagnosis By Means Of Segmented tongue Image Classification Exhausting Neural Networks

Vol.1  No.1

Year : 2014

Issue : Mar-May

Title : Disease Diagnosis By Means Of Segmented tongue Image Classification Exhausting Neural Networks

Author Name : N. Dhanaraj, R. Sam Wesley , S. Santhiya , K. Sathya , G. Sivasathya

Synopsis :

The tongue has many relationships and acquaintances in the body, both to the peaks and the internal organs. It can present strong visual pointers of a person's overall agreement or disagreement. Tongue diagnosis has played such a prominent role in the diagnosis. The tongue is a muscular organ in the oral cavity that is associated with the function of deglutition, taste and speech. It acts as an easily accessible mirror of the health of a person, and indicates the state of hydration of the body. Some characteristic changes occur in the tongue in some particular diseases. In this paper, the tongue image of the patient is captured by digital camera and then the disease affected part of the tongue is segmented by threshold based algorithm which separate tongue from all other features like teeth, skin etc. The image will be classified based on the features extracted from the segmented part exhausting Neural Networks.

For more details:

imanagerpublications.com

Image Encrption Algorithm Based on Arnold Cat Map and Logistic Mapping

Vol.1  No.1

Year : 2014

Issue : Mar-May

Title : Image Encrption Algorithm Based on Arnold Cat Map and Logistic Mapping

Author Name : Anil Saini, Shalza Dua

Synopsis :

The paper presents an article on image encryption scheme. The major approach to protect an image is encryption. There are many image encryption techniques. Image encryption schemes have been increasingly studied to meet the demand for real-time secure image transmission over the Internet and through wireless networks. Traditional image encryption algorithm such as data encryption standard (DES), has the weakness of low-level efficiency when the image is large. The chaos-based encryption has suggested a new and efficient way to deal with the intractable problem of fast and highly secure image encryption. One-dimensional chaotic system with the advantages of high-level efficiency and simplicity, such as Logistic map, has been widely used now developed. The encryption use the Arnold cat map to scramble the image. Arnold's cat map's feature is that image being apparently randomized by the transformation but returning to its original state after a number of steps. The overall objective of this paper is to propose an integrated technique for image encryption.


For more details:
imanagerpublications.com

Interactive Grow Cut Segmentation On Capsule Endoscopy Image

Vol.1  No.1

Year : 2014

Issue : Mar-May

Title : Interactive Grow Cut Segmentation On Capsule Endoscopy Image

Author Name : Padmapriya, P. Shanmugasundaram , Santhiyakumari N

Synopsis :

Wireless Capsule Endoscopy (WCE) is a transitional endoscopy, diagnosing disease in gross area of the Gastrointestinal (GI) tract ahead the reach of other endoscopy. Cancer is a leading cause of death. As per WHO report 13 million people were affected by cancer disease every year. Bowel cancer is a third most cancer occurring in the GI system. Recent works addresses various screening methods, and adaptive controls to improve the analysis completion. This paper describes a robust method of segmenting the bowel images and to discriminate the normal and affected location using Lab VIEW. The system shows, that the threshold adjusted (segregation) capsule endoscopic images are emphatic, and sophisticate classification by adequate software used to afford an image as clarion.

For more details:

imanagerpublications.com

Extended Rule Based Local Binary Pattern Technique for Texture Classification and Analysis

Vol.1  No.1

Year : 2014

Issue : Mar-May

Title : Extended Rule Based Local Binary Pattern Technique for Texture Classification and Analysis

Author Name : O. Rama devi, E.V. Prasad , L.S.S Reddy

Synopsis :

Texture analysis is one of the important and most useful tasks in image processing applications. Several texture models have been developed over the past few years and Local Binary Patterns (LBP) are one of the simple and efficient approaches among them. The main disadvantage of “LBP” method is the complex computation of vector generation. Here an innovative classifier, called Extended Rule Based Local Binary Pattern (ERLBP) is given, which is an efficient model and its performance has been compared with other widely used texture models to show the computational superiority, robustness to gray scale variations and improved discriminating capability.

For more details:
imanagerpublications.com

Extended Rule Based Local Binary Pattern Technique for Texture Classification and Analysis

Vol.1  No.1

Year : 2014

Issue : Mar-May

Title : Extended Rule Based Local Binary Pattern Technique for Texture Classification and Analysis

Author Name : O. Rama devi, E.V. Prasad , L.S.S Reddy

Synopsis :

Texture analysis is one of the important and most useful tasks in image processing applications. Several texture models have been developed over the past few years and Local Binary Patterns (LBP) are one of the simple and efficient approaches among them. The main disadvantage of “LBP” method is the complex computation of vector generation. Here an innovative classifier, called Extended Rule Based Local Binary Pattern (ERLBP) is given, which is an efficient model and its performance has been compared with other widely used texture models to show the computational superiority, robustness to gray scale variations and improved discriminating capability.

For more details:

imanagerpublications.com