Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey
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 …
crop productivity is expected to be needed by 2050. Pests and diseases are a major …
A survey of recent advances in visual feature detection
Feature detection is a fundamental and important problem in computer vision and image
processing. It is a low-level processing step which serves as the essential part for computer …
processing. It is a low-level processing step which serves as the essential part for computer …
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 …
for images of a wide variety of natural scenes. We define an error measure which quantifies …
[LIBRO][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 …
more complete, modern, and hands-on tool than ever before. The Image Processing …
Detecting faces in images: A survey
Images containing faces are essential to intelligent vision-based human-computer
interaction, and research efforts in face processing include face recognition, face tracking …
interaction, and research efforts in face processing include face recognition, face tracking …
[PDF][PDF] Study and comparison of various image edge detection techniques
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 …
image processing. Image Edge detection significantly reduces the amount of data and filters …
Evaluation of interest point detectors
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' …
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 …
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 …
when reduction in labor cost and associated benefits are considered. The development of a …
[LIBRO][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 …
than 2-D and 3-D Image Registration. In addition to delving into the relevant theories of …