Overview: The objective
of the I2K suite of tools is to research and develop solutions to real life
problems in the application areas of machine vision, precision farming, land
use and land cover classification, map analysis, geo-spatial information systems
(GIS), synthetic aperture radar (SAR) target and multi-spectral scene modeling,
video surveillance, bio-informatics, microscopy and medical image processing,
and advanced sensor environments. The main goal of the I2K research and development
is to automate information processing of repetitive, laborious and tedious
analysis tasks and build user-friendly decision-making systems that operate
in automated or semi-automated mode in a variety of applications. The development
is based on theoretical foundations of image and video processing, computer
vision, data fusion, statistical and spectral modeling, data mining and pattern
recognition, software engineering and sensor design.
Software Description: This software contains (A) general tools and (B) custom-made tools for processing two-dimensional multivariate (multi-band) images, as well as, (C) software tools that operate with various hardware components, such as, spectral cameras, audio equipment and programmable MEMS sensors. The classes for these tools are named as follows:
(A) General software tools:
BlobTrace
(silhouette analysis)
CalibrateDialog
(image calibration)
GaborFilterBank
(texture analysis)
GammaDialog
(intensity adjustment)
GeoCoorValDialog
(lat/long <-> row/colum conversion)
GridLine
(grid alignment)
Histogram
(image histogram)
HS2RGBDialog (hyperspectral to RGB image conversion)
ImageCompareDialog
(measured and synthetic image comparison)
ImageDistributionDialog
(estimate image PDF parameters)
ImagePCA
(image principal component analysis)
ImCalculator
(image calculator)
ImStats
(image statistics)
Isodata
(isodata clustering or an n-class classification problem)
IsTexture
(texture vs. non-texture pixel classification)
RankBand
(rank image bands)
RegistrationFrame
(register sets of images)
Seg2DSuperDialog
(supervised 2D segmentation)
Stereo
(depth from image stereo)
Threshold
(image thresholding or a two-class classification problem)
(B) Custom-made software
tools:
(C) Software tools operating
with hardware components:
Input Description
Output Description
2D Visualization Description
3D Visualization Description