Pixel-by-pixel rectification of urban perspective thermography

Colorado 14ers, Pixel by Pixel

This document describes a capstone learning exercise designed for undergraduates enrolled in an introductory geospatial tools course. The overarching theme of the exercise, Colorado 14ers, Pixel by Pixel, is mountain geography. While immersed in a digital mountainous landscape, students explore topics of geomorphology and geomorphometry and discover how it is possible for a summit that rises we...

Pixel-by-Pixel Classification of MFISH Images

Multiplex Fluorescence In-Situ Hybridization (M-FISH) is a recently developed chromosome imaging method in which each chromosome is labelled with 5 fluors (dyes) and is also counterstained with DAPI. This paper proposes an automatic pixel by pixel classification algorithm for M-FISH images using a Bayes Classifier. The M-FISH pixel classification was approached as a 25 class 6 feature pattern r...

Depth Discontinuities by Pixel-to-Pixel Stereo

This report describes a two-pass binocular stereo algorithm that is specifically geared towards the detection of depth discontinuities. In the rst pass, introduced in part I of the report, stereo matching is performed independently on each epipolar pair for maximum e ciency. In the second pass, described in part II, disparity information is propagated between the scanlines. Part I. Our stereo a...

Urban Image Classification: Per-pixel Classifiers, Sub-pixel Analysis, Object-based Image Analysis, and Geospatial Methods

Steganalysis of embedding in difference of image pixel pairs by neural network

In this paper a steganalysis method is proposed for pixel value differencing method. This steganographic method, which has been immune against conventional attacks, performs the embedding in the difference of the values of pixel pairs. Therefore, the histogram of the differences of an embedded image is di_erent as compared with a cover image. A number of characteristics are identified in the di...