A modified moment-based edge operator for rectangular pixel image

1994 ◽  
Vol 4 (6) ◽  
pp. 552-554 ◽  
Author(s):  
Li-Min Luo ◽  
Xiao-Hua Xie ◽  
Xu-Dong Bao
Keyword(s):  
Edge Operator ◽  
Pixel Image

Readout circuit for CMOS active pixel image sensor

2002 ◽  
Vol 38 (7) ◽  
pp. 317 ◽  
Author(s):  
T. Kwok ◽  
J.J. Zhong ◽  
T. Wilkinson ◽  
W.A. Crossland
Keyword(s):  
Image Sensor ◽  
Readout Circuit ◽  
Active Pixel ◽  
Pixel Image

Development of a 2,048 x 2,048-Pixel Image Intensifier-TV Digital Radiography System

1992 ◽  
Vol 27 (11) ◽  
pp. 898-906 ◽  
Author(s):  
MUTSUMASA TAKAHASHI ◽  
SUKEYOSHI UENO ◽  
TADATOSHI TSUCHIGAME ◽  
YOSHIHARU HIGASHIDA ◽  
YUKINORI HIRATA ◽  
...  
Keyword(s):  
Digital Radiography ◽  
Image Intensifier ◽  
Digital Radiography System ◽  
Radiography System ◽  
Pixel Image

AN AUTOREGRESSIVE APPROACH TO SURFACE TEXTURE ANALYSIS

1994 ◽  
Vol 08 (04) ◽  
pp. 845-857 ◽  
Author(s):  
DINESH P. MITAL ◽  
GOH WEE LENG
Keyword(s):  
Aspect Ratio ◽  
Random Field ◽  
Texture Analysis ◽  
Surface Texture ◽  
Field Model ◽  
Invariant Property ◽  
Circular Area ◽  
Pixel Image ◽  
Rotational Invariant ◽  
Surface Texture Analysis

The use of autoregressive models in textual analysis holds great potential. Coupling the technique to a circular neighbourhood set imparts a rotational invariant property to it. This was demonstrated by Kashyap and Khotanzad in their model called the Circular Symmetric Autogressive (CSAR) Random Field model. The short-coming in this very ingenious proposal is that it is set in a background of square pixels and the rotational invariant property of the model fails in cases when the aspect ratio of the pixels are not at unity. This paper proposes a major modification to the CSAR to render the model rotational invariant under all configurations of pixel implementation. It is based on the area segments covered by a circle set in a 3×3 neighbourhood. We call it the Circular Area Autoregressive (CAAR) model. The results obtained from the CAAR showed much better consistency over that of the CSAR when a non-square pixel image was used.

scholarly journals ACCURACY ASSESSMENT OF A UAV-BASED LANDSLIDE MONITORING SYSTEM

2016 ◽  
Vol XLI-B5 ◽  
pp. 895-902 ◽  
Author(s):  
M. V. Peppa ◽  
J. P. Mills ◽  
P. Moore ◽  
P. E. Miller ◽  
J. E. Chambers
Keyword(s):  
Image Matching ◽  
Accuracy Assessment ◽  
Bundle Adjustment ◽  
Landslide Monitoring ◽  
Control Points ◽  
Error Assessment ◽  
Ground Sample ◽  
Ground Control Points ◽  
Pixel Image ◽  
Spatio Temporal

Landslides are hazardous events with often disastrous consequences. Monitoring landslides with observations of high spatio-temporal resolution can help mitigate such hazards. Mini unmanned aerial vehicles (UAVs) complemented by structure-from-motion (SfM) photogrammetry and modern per-pixel image matching algorithms can deliver a time-series of landslide elevation models in an automated and inexpensive way. This research investigates the potential of a mini UAV, equipped with a Panasonic Lumix DMC-LX5 compact camera, to provide surface deformations at acceptable levels of accuracy for landslide assessment. The study adopts a self-calibrating bundle adjustment-SfM pipeline using ground control points (GCPs). It evaluates misalignment biases and unresolved systematic errors that are transferred through the SfM process into the derived elevation models. To cross-validate the research outputs, results are compared to benchmark observations obtained by standard surveying techniques. The data is collected with 6 cm ground sample distance (GSD) and is shown to achieve planimetric and vertical accuracy of a few centimetres at independent check points (ICPs). The co-registration error of the generated elevation models is also examined in areas of stable terrain. Through this error assessment, the study estimates that the vertical sensitivity to real terrain change of the tested landslide is equal to 9 cm.

A non-pixel image reader for continuous image detection based on tandem heterostructures

2004 ◽  
Vol 115 (2-3) ◽  
pp. 191-195
Author(s):  
M. Vieira ◽  
M. Fernandes ◽  
A. Fantoni ◽  
P. Louro
Keyword(s):  
Continuous Image ◽  
Image Detection ◽  
Pixel Image

Counting of Uneaten Floating Feed Pellets in Water Surface Images using ACF Detector and Sobel Edge Operator

2021 ◽  
Author(s):  
Maria Gemel B. Palconit ◽  
Ronnie S. Conception ◽  
Jonnel D. Alejandrino ◽  
Ivan Roy S. Evangelista ◽  
Edwin Sybingco ◽  
...  
Keyword(s):  
Water Surface ◽  
Edge Operator ◽  
Feed Pellets ◽  
Surface Images

Precision engraving automatic machine tool of an integrated computer-copying system

2020 ◽  
pp. 71-77
Author(s):  
M.H. Magomedov ◽  
G.H. Magomedov ◽  
A.E. Gromov ◽  
A.V. YAkovlev
Keyword(s):  
Machine Tool ◽  
Equations Of Motion ◽  
Standard Setting ◽  
Automatic Machine ◽  
Stepper Motor ◽  
Pixel Image ◽  
Kinematic Diagram

The principle of operation and functional-kinematic diagram of a three-coordinate impact-engraving machine tool of a computer-copying system are considered. The errors of the machine tool are analyzed, the ways of their elimination are suggested. Kinematic equations of motion of an impactor tool along a zigzag trajectory are derived. The dynamics of a controlled vibration generator is investigated in the mode of standard setting of the machine tool. Keywords: impact-engraving machine tool, integrated computer-copying system, Ae-product, pixel image, functional-kinematic diagram, stepper motor, kinematic trajectory, vibration generation. [email protected]

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