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Cotton top feature identification based on machine vision&image processing
2011 Edition, Volume 1, June 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Extracting cotton top features for cotton top identification and location based on machine vision & image processing is explored in this paper. We have implemented three different color spaces namely Ycbcr color space, HSI...

An Algorithm for Concrete Crack Extraction and Identification Based on Machine Vision
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The article proposes solutions to the large extraction error, the difficulty of identification and other problems existing in crack processing. The first solution entails enlarging the grayscale difference between the crack and background via adaptive grayscale linear transformation...

Method for detecting micron cracks on a magnetic rotor surface based on a support vector machine
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Micro-scale cracks on the surface of a magnetic rotor are difficult to detect because of the formation of stains. A method that is based on computer vision and a Support Vector Machine (SVM) that can accurately and rapidly locate micro-scale cracks is proposed. To...

An Algorithm for Concrete Crack Extraction and Identification Based on Machine Vision
2018 Edition, Volume 6, January 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes solutions to the large extraction error, the difficulty of identification, and other problems existing in crack processing. The first solution entails enlarging the grayscale difference between the crack and background via adaptive grayscale linear transformation...

Wood identification based on histogram of oriented gradient (HOG) feature and support vector machine (SVM) classifier
2017 Edition, November 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Forest areas in Indonesia covered about 2/3 of total land areas which has about 4000 wood species. Wood identification plays a key role in wood utilization not only for determining appropriate use but also for supporting legal timber trade. However, the identification process...

Semantic driven hierarchical learning for energy-efficient image classification
2017 Edition, March 1, 2017 - EDAA

Machine-learning algorithms have shown outstanding image recognition performance for computer vision applications. While these algorithms are modeled to mimic brain-like cognitive abilities, they lack the remarkable energy-efficient processing capability of the brain....

Comparative Study on Vision Based Rice Seed Varieties Identification
2015 Edition, October 1, 2015 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper presents a system for automated classification of rice variety for rice seed production using computer vision and image processing techniques. Rice seeds of different varieties are visually very similar in color, shape and texture that make the classification of rice...

Novel face recognition algorithm based on adaptive 3D local binary pattern features and improved Singular Value Decomposition method
2016 Edition, Volume 3, August 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Face recognition is a kind of important method focused on biological information identification, which is also a research hotspot in the field of pattern recognition and machine vision. In recent years, some pattern recognition researches show that, human visual system...

Vision-based closed-loop tracking using micro air vehicles
2016 Edition, March 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper describes the target detection and tracking architecture used by the Georgia Tech Aerial Robotics team for the American Helicopter Society (AHS) Micro Aerial Vehicle (MAV) challenge. The vision system described enables vision-aided navigation with additional abilities such...

The Growing Role of Artificial Intelligence in Oil and Gas
June 9, 2016 - IEEE GlobalSpec

Over the past decade, the use of machine learning, predictive analytics, and other artificial intelligence-based technologies in the oil and gas industry has grown immensely. These technologies have advanced over the last 18-24 months as the drop in oil price has driven companies to...

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