[HTML][HTML] Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey

T Domingues, T Brandão, JC Ferreira - Agriculture, 2022 - mdpi.com
Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …

Edge and line oriented contour detection: State of the art

G Papari, N Petkov - Image and Vision Computing, 2011 - Elsevier
We present an overview of various edge and line oriented approaches to contour detection
that have been proposed in the last two decades. By edge and line oriented we mean …

A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

D Martin, C Fowlkes, D Tal… - Proceedings eighth IEEE …, 2001 - ieeexplore.ieee.org
This paper presents a database containing'ground truth'segmentations produced by humans
for images of a wide variety of natural scenes. We define an error measure which quantifies …

[KIRJA][B] The image processing handbook

JC Russ - 2006 - taylorfrancis.com
Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

Detecting faces in images: A survey

MH Yang, DJ Kriegman, N Ahuja - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …

[PDF][PDF] Study and comparison of various image edge detection techniques

R Maini, H Aggarwal - International journal of image processing (IJIP …, 2009 - academia.edu
Edges characterize boundaries and are therefore a problem of fundamental importance in
image processing. Image Edge detection significantly reduces the amount of data and filters …

Evaluation of interest point detectors

C Schmid, R Mohr, C Bauckhage - International Journal of computer vision, 2000 - Springer
Many different low-level feature detectors exist and it is widely agreed that the evaluation of
detectors is important. In this paper we introduce two evaluation criteria for interest points' …

On the Canny edge detector

L Ding, A Goshtasby - Pattern recognition, 2001 - Elsevier
The Canny edge detector is widely used in computer vision to locate sharp intensity
changes and to find object boundaries in an image. The Canny edge detector classifies a …

Computer-vision-based fabric defect detection: A survey

A Kumar - IEEE transactions on industrial electronics, 2008 - ieeexplore.ieee.org
The investment in an automated fabric defect detection system is more than economical
when reduction in labor cost and associated benefits are considered. The development of a …

[KIRJA][B] 2-D and 3-D image registration: for medical, remote sensing, and industrial applications

AA Goshtasby - 2005 - books.google.com
To master the fundamentals of image registration, there is no more comprehensive source
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …