Adaptive Image Processing Methods for Improving Contaminant Detection Accuracy on Poultry Carcasses

2009 ◽  
Vol 52 (3) ◽  
pp. 999-1008 ◽  
Author(s):  
B. Park ◽  
S. C. Yoon ◽  
M. Kise ◽  
K. C. Lawrence ◽  
W. R. Windham
Keyword(s):  
Image Processing ◽  
Detection Accuracy ◽  
Processing Methods ◽  
Contaminant Detection ◽  
Adaptive Image Processing

Adaptive Image Processing Methods for Outdoor Autonomous Vehicles

2019 ◽  
pp. 456-476 ◽  
Author(s):  
Lucie Halodová ◽  
Eliška Dvořáková ◽  
Filip Majer ◽  
Jiří Ulrich ◽  
Tomáš Vintr ◽  
...  
Keyword(s):  
Image Processing ◽  
Autonomous Vehicles ◽  
Processing Methods ◽  
Adaptive Image Processing

Comparison of Different Image Processing Methods with Spatial Information in Clinical Brain MRI

2020 ◽  
Author(s):  
Iza Sazanita Isa ◽  
Mohamad Khairul Faizi Mat Saad ◽  
Muhammad Haris Khusairi Mohmad Kadir ◽  
Ahmad Afifi Ahmad Afandi ◽  
Noor Khairiah A. Karim ◽  
...  
Keyword(s):  
Image Processing ◽  
Spatial Information ◽  
Brain Mri ◽  
Processing Methods

scholarly journals Image Processing Methods of LANDSAT TM Data for Lineament Analysis

1989 ◽  
Vol 1989 (14B) ◽  
pp. 25-39
Author(s):  
Katsuaki KOIKE ◽  
Hiroyuki ITOH ◽  
Michito OHMI
Keyword(s):  
Image Processing ◽  
Landsat Tm ◽  
Processing Methods ◽  
Lineament Analysis

scholarly journals Fast Transforms in Image Processing: Compression, Restoration, and Resampling

2014 ◽  
Vol 2014 ◽  
pp. 1-23 ◽  
Author(s):  
Leonid P. Yaroslavsky
Keyword(s):  
Image Processing ◽  
Image Compression ◽  
Image Restoration ◽  
Compressive Sensing ◽  
Adaptive Filters ◽  
Processing Methods ◽  
Fast Transforms ◽  
Image Transforms

Transform image processing methods are methods that work in domains of image transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be very efficient in image compression, in image restoration, in image resampling, and in geometrical transformations and can be traced back to early 1970s. The paper reviews these methods, with emphasis on their comparison and relationships, from the very first steps of transform image compression methods to adaptive and local adaptive filters for image restoration and up to “compressive sensing” methods that gained popularity in last few years. References are made to both first publications of the corresponding results and more recent and more easily available ones. The review has a tutorial character and purpose.

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