Clock jitter in sampling and reconstruction
Clock jitter plays an important role in A/D and D/A conversions. Various aspects of this problem have been extensively studied. We consider here the effect of clock jitters in the…
Author: Matlab-Projects
Visible brain-wide networks at single-neuron resolution with Micro-Optical Sectioning Tomography
We report a protocol combining a novel resin-embedding method for maintaining fluorescence, an automated fluorescence MOST system for long-term stable imaging, and a digital reconstruction-registration-annotation pipeline for tracing the axonal pathways individually in…
Image Denoising: A DAMRF Model
The problem of reconstructing digital images from degraded measurement is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore an image from its noisy…
Automatic GCP Extraction in Mountainous Areas Using DEM and PolSAR Data
Mountainous areas in synthetic aperture radar (SAR) images suffer severe geometric distortions caused by different look directions. Consequently, ground control point (GCP) extraction hardly obtains accurate results for aircraft positioning. Based on…
Content based image retrieval based on geo-location driven image tagging on the social web
In recently years, in the era of multimedia technologies need for information/data retrieval systems getting more attention. The data might be image, video, audio and/or text files. Digital libraries, surveillance application, web applications…
Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology
Quantitative histomorphometry (QH) refers to the process of computationally modeling disease appearance on digital pathology images. This procedure typically involves extraction of hundreds of features, which may be used to predict disease presence, aggressiveness, or…
Robotic Handling of Surgical Instruments in a Cluttered Tray
We developed a unique robotic manipulation system that accurately singulates surgical instruments in a cluttered environment. A novel single-view computer vision algorithm identifies the next instrument to grip from a…
Object-Based 3-D Building Change Detection on Multitemporal Stereo Images
Due to the rapid process of urbanization, there is an increasing demand for detecting building changes over time using very high-resolution (VHR) images. Traditional two-dimensional (2-D) change detection methods are limited due to…
High-speed compressed sensing measurement using spectrally-encoded ultrafast laser pulses
We present a chirp processing technique for encoding pseudorandom patterns onto the spectra of broadband optical pulses for compressed sensing (CS) measurement. We demonstrate applications to characterization of ultrawideband sparse radio frequency…
Spectrometer-Driven Spectral Partitioning for Hyperspectral Image Classification
Classification is an important and widely used technique for remotely sensed hyperspectral data interpretation. Although most techniques developed for hyperspectral image classification assume that the spectral signatures provided by an imaging spectrometer can be…