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Modern phenotyping and plant disease detection provide promising step towards food security and sustainable agriculture. In particular, imaging and computer vision based phenotyping offers the ability to study quantitative plant physiology. On the contrary, manual interpretation requires tremendous amount of work, expertise in plant diseases, and also requires excessive processing time. In this work,...
This paper presents the analysis of various regression based machine learning algorithms for image-based plant phenotyping application and proposes a technique for plant phenotyping. Capability to predict age/development stage of a plant is one of the important factors for plant phenotyping and for analysis of in-situ crops. With the developed technique, these algorithms can predict age of an Arabidopsis...
There is a need for a system which provides real-time local environmental data in rural crop fields for the detection and management of fungal diseases. This paper presents the design of an Internet of Things (IoT) system consisting of a device capable of sending real-time environmental data to cloud storage and a machine learning algorithm to predict environmental conditions for fungal detection...
To meet the high demand for supporting and accelerating progress in breeding of novel traits, plant scientists and breeders have to make more efforts to deal with the need to accurately measure a large number of plants and their characteristics. A variety of imaging methodologies is being deployed to acquire data for quantitative studies of complex traits. When applied to a large number of plants,...
Wireless Capsule Endoscopy (WCE) has emerged as a popular non-invasive imaging tool for inspection of human Gastrointestinal (GI) tract. In order to identify the location of an anomaly or intestinal disease, the physicians need to know the exact location of the endoscopic capsule which influences the treatment plan. In this paper, we present a displacement estimation technique based on feature point...
Wireless capsule endoscopy is used to capture images from inside body which are used for diagnosis of various diseases. Diagnosis of disease and detail analysis of endoscopic images is based on the quality of image which is heavily dependent on the image size, frame rate and illumination system. The design of illumination system involves choice and placement of proper light source. Light emitting...
Aperture arrays are widely used in beamforming applications where element signals are steered to a particular direction of interest and a single beam is formed. Multi-beamforming is an extension of single beamforming which is desired in the fields where sources located in multiple directions are of interest. Discrete Fourier Transform (DFT) is usually used in these scenarios to segregate the received...
In this paper, we propose an efficient algorithm for localization of underground miners using RSSI and ZigBee. RSSI is widely used to measure the distance in wireless system. However, there are possible interferences that may affect the result of measurement, such as propagation, reflection, etc. In this paper, we develop an algorithm that can increase the accuracy of localization especially in underground...
Video capsule endoscopy is a non-invasive technique to receive images of intestine for medical diagnostics. The main design challenges of endoscopy capsule are accruing and transmitting acceptable quality images by utilizing as less hardware and battery power as possible. In order to save wireless transmission power and bandwidth, an efficient image compression algorithm needs to be implemented inside...
Wireless capsule endoscopy (WCE) is a recently developed technology to detect small intestine diseases, such as bleeding. In this paper, a scheme for automatic bleeding detection from WCE video is proposed based on different statistical measures computed from a new red to green (R/G) pixel ratio intensity plane of RGB color images. Different statistical parameters, namely mean, mode, maximum, minimum,...
This paper presents a simple and efficient design of a face recognition system, where feature extraction algorithm is employed based on the principle of spatial cross-correlation. In the feature extraction process, instead of processing the entire image at a time, only a pair of rows or columns of an image is considered which makes the algorithm very efficient and low-cost. Considering the cross-correlations...
This paper presents an efficient color image enhancement method for endoscopic images. The enhancement is achieved in two parts: image enhancement at gray level followed by a color reproduction. The captured RGB endoscopic images are first converted into three 2-D spectral images using a well-known method called FICE (Fuji Intelligent Color Enhancement). Then the image with the maximum entropy is...
The paper presents a design of a microcontroller based Wi-Fi adapter that can be used in wireless capsule endoscopy application. Using the proposed adapter, image data from an endoscopic capsule, after swallowing, can be can be saved (or logged) directly on smart device, laptop, workstation or server that are connected to hospital's Wi-Fi network. This enables medical doctors to analyze data in real...
Background Primary care research is at a crossroad in South Pacific. A steering committee comprising a member of WONCA Asia Pacific Regional (APR) council and the President of Fiji College of General Practitioners garnered sponsorship from Fiji Ministry of Health, WONCA APR and pharmaceutical agencies to organize the event in October 2013. This paper describes the processes needed to set up a national...
In this paper, a design of a microcontroller based Wi-Fi adapter for medical application is proposed. The adapter will enable data logging from an implantable biosensor directly into a Smart device, laptop, or servers connected with hospital's Wi-Fi network. This will allow medical doctors to analyze important physiological data in real time from a remote distance. The design has been prototyped in...
The paper presents a lifting based algorithm to compute Daubechies-4 (D4) and Daubechies-6 (D6) Wavelet Transforms using a novel algebraic integer quantization (AIQ) technique. The complex transform filter coefficients are first mapped error-freely by algebraic integers, and then quantized using subband coding algorithm. The performance of the scheme is assessed by using several benchmark images and...
In this brief, we present a reconfigurable architecture to implement variable block-size transforms (8-point, 16-point and 32-point) in HEVC. The scheme is based on internal sharing and reuse of transform coefficients and uses a novel two-level grouping strategy exploiting the mirror symmetry and mirror anti-symmetry of the coefficients. Additionally, we have adopted an adder-share strategy in the...
Seismocardiogram (SCG) is a complex; nonstationary signal used for pathological analysis of cardiac vibratory activity and reflects mechanical aspects of the heart contraction and blood ejection. It is a continuous noninvasive measurement of the heart activity in three dimensions. It measures the accelerations onto the chest wall by the heart through its movement, plotted as a function of time. In...
Modern health care system requires certain critically ill patients to monitor their blood pressure continuously through non-invasive techniques. The pulse transit time (PTT) and other parameter such as RS2 have been used previously for continuous BP monitoring. In this study, a system is designed using trial axis accelerometer as a sensor to collect seismocardiogram (SCG) data. The SCG waveforms have...
This paper presents a novel technique for detecting bleeding regions in capsule endoscopy images. The proposed algorithm extracts color features from image-regions by calculating mean, standard deviation, skew and energy from the first order histogram of the RGB planes separately. Through the use of RGB color space, three times more number of features can be obtained than while using a grayscale image...
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