11 documents found

Article / Chapter
CC BY-SA 4.0
2019-03-15

Using hybrid information of colour image analysis and SWIR-spectrum for...

aus: OCM 2019
This paper discusses the accuracy improvement of automatic analysis of construction and demolition waste (CDW) by using the combination of image analysis and spectral information. This means using the combination of methods of image processing, methods of spectral analysis and methods of supervised learning....
Karlsruhe: KIT Scientific Publishing, 2019-03-15
Article / Chapter
CC BY 3.0
2016-12-12

Using artificial intelligence strategies for process-related automated...

In this paper a new method for the automatic visual inspection of metallic surfaces is proposed by using Convolutional Neural Networks (CNN). The different combinations of network parameters were developed and tested. The obtained results of CNN were analysed and compared with the results of our previous...
Bristol: IOP Publ., 2016-12-12
Article / Chapter
CC BY 3.0
2016-11-30

The application of texture features to quality control of metal surfaces

aus: Acta IMEKO
Quality assessment is an important step in production processes of metal parts. This step is required in order to check whether surface quality meets the requirements. Progress in the field of computing technologies and computer vision gives the possibility of visual surface quality control with industrial...
Braunschweig: International Measurement Confederation (IMEKO), 2016-11-30
Article / Chapter
CC BY-SA 3.0
2015-03-18

Significant characteristics in VIS- and IR-spectrum of construction and...

This paper discusses the possibility of automatic classifying of construction and demolition waste (CDW) by using methods of spectral analysis and supervised classifiers. The classification performances in colour images shown, that we have touse additional spectral information to solve the recognition...
Article / Chapter
CC BY 3.0
2013-08

Application of intelligent image processing in the construction material...

aus: Acta IMEKO
This paper discusses two analysis activities in the construction material industry, which could be solved by intelligent image processing algorithms. The first task is the optical identification of recycled aggregates of construction and demolition waste (CDW) as basis of an innovative sorting method...
Braunschweig: International Measurement Confederation (IMEKO), 2013-08
Article / Chapter
CC BY-NC-ND 3.0
2013

Image analysis of natural products

Natural products are exposed to various environmental influences resulting in a high phenotypical variability. This makes it very difficult to develop automatic recognition algorithms in contrast to the recognition of manufactured products. Recent developments in the field of computer science, especially the...
Karlsruhe: KIT Scientific Publishing, 2013