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Lung Segmentation is the first and important image processing step for the detection and the diagnosis of lung cancer, namely CADe and CADx respectively. In this paper, a new Lung Segmentation method is introduced which performs faster than any other existing methods without compromising the accuracy of the segmentation.
Deep learning has become a popular sub-study in machine learning in the recent years due to the conclusions of development in computer hardware systems and big data. Deep learning is used successfully in image classification, speech recognition, natural language processing, and so on. Controlled intake of nutrition is recommended as a condition for being a healthy individual. Knowing and monitoring...
This paper presents a neural-network-based approach for the detection of misplaced and missing regions in images. The main objective of this project is to develop an intelligent system that can identify a misplaced or missing region of a tested image. The system can be used to detect misplaced and missing components of printed circuit boards during the manufacturing process. Jigsaw puzzle pieces can...
The rapid and irregular motion of semen cells makes the counting process of semen difficult in the visual assessment. Therefore, computer based techniques are necessary to evaluate the tests with more accurately. In this paper, an alternative way to the visual assessment technique in spermiogram tests is presented. Analyses are performed on the recorded microscope video images by computer, automatically...
In this paper we propose a robust method of displaying the archery score in real time by using image processing techniques to aid for the development of an automated scoring system after archers shoot arrows. Some experimental results are shown by using video sequences taken in an indoor environment.
With the introduction of touch-screens for an increasing number of applications such as smart phones, vending machines and automotive displays, the need for testing input possibilities for such displays arose. For many different test scenarios not only synthetic, but also human-like inputs are desired. This paper describes an approach capable of creating human-like finger-traces for the input method...
We evaluate the vector performance of the Halide domain-specific language for a computational photography application targeted at Android devices. Our application has existing implementations in C++ and ARM NEON and these are used as a baseline for performance comparisons with Halide. We give a very brief introduction to Halide concepts and describe the structure of our application. We describe how...
This paper proposes a lane estimation algorithm on roads where lanes are not visible due to fading or bad weather conditions. The proposed algorithm is conducted by utilizing the road width and remained lines on roads. The results indicate that the proposed algorithm can estimate lanes in heavy rains and nights.
India considers agriculture as it back bone in terms of economy. Every tree originates from seed and saplings are considered to be a small tree. Sapling stage is considered to be sensitive as it is more prone to diseases. Saplings require utmost care for it to have a healthy growth. This project is carried out to implement an Automatic plant health checking vehicle with the help of MATLAB where a...
Experiment design has a key role in the functional magnetic resonance imaging (fMRI) data analyses. Block designs are suitable to localize functional areas but are not able to measure the transient changes in the brain activity. Event related design is a better approach and saves time and resources like single trial analyses. In this study, we explored the event related design with single, and multi...
Microarray analysis is one of the most suitable tools available for scientists concerned with DNA sequences to study and examine gene expression. Through microarray analysis, the gene expression sequence can be obtained and biological information on many diseases can be acquired. The gene expression information contained in the microarray can be extracted using image-processing techniques. Microarray...
Deep structured of Convolutional Neural Networks (CNN) has recently gained intense attention in development due to its good performance in object recognition. One of the crucial components in CNN is the learning mechanism of weight parameters through backpropagation. In this paper, stochastic diagonal Approximate Greatest Descent (SDAGD) is proposed to train weight parameters in CNN. SDAGD adopts...
The predictive proportional integral (PPI) controller being simple and non conservative like its Smith predictor and internal model control (IMC) counterparts, has the ability to be employed in environments characterised by uncertainties such as stochastic network delays. However, its performance degrades in the presence of measurement noise. This is due to the prediction involve in the controller...
This paper proposes a new stereo corresponding algorithm which uses local-based. The Sum of Absolute Differences (SAD) algorithm produces accurate results on the disparity map for the textured regions. However, this algorithm is sensitive to low texture areas and high noise on images with high different brightness and contrast of images. To get over these problems, the proposed algorithm utilizes...
Stochastic Diagonal Approximate Greatest Descent (SDAGD) is proposed to manage the optimization in two stages, (a) apply a radial boundary to estimate step length when the weights are far from solution, (b) apply Newton method when the weights are within the solution level set. This is inspired by a multi-stage decision control system where different strategies is used at different conditions. In...
Content-based image retrieval methods use color, texture and shape of an object for indexing and retrieval. Among these features, shape is a basic visual feature that holds significant information of the object. In this paper an alphabetic contour-based shape description method is proposed to facilitate shape classification and retrieval. The proposed method breaks down shape's contour into small...
Accurate dialect identification technique helps in improving the speech recognition systems that exist in most of the present day electronic devices and is also expected to help in providing new services in the field of e-health and telemedicine which is especially important for older and homebound people. The accuracy of a dialect identification system is highly dependent on its speech corpora. Therefore,...
In this paper, we propose distance and path loss based weighted centroid localization (WCL) algorithms for video capsule endoscope (VCE) using the received signal strength indicator (RSSI). We evaluate the performance of both algorithms considering real channel characteristics of human body. One of the major challenge in RSSI based VCE localization is the shadow fading and multi-path propagation effects...
This technical paper investigates the physiology of human fatigue using human electromagnetic radiation. Fatigue is a feeling of tiredness that arrives from the excessive working time or workload, prolong exertion, sleep loss or and or disruption of the internal clock. It can be divided into two, mental and physical causes which decline in mental or physical performances. The purpose of this study...
YouTube is one of the comprehensive video information source on the web where video is uploading continuously in real time. It is one of the most popular site in social media, where users interact with sharing, commenting and rating (like/views) videos. Generally the quality, relevancy and popularity of the video is maintained based on this rating. Sometimes irrelevant and low quality videos ranked...
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