This article introduces the application of computer image identification in steel industrial environment, such as dust, high temperature and indefinte interference light source, to solve the theoretical weighing problem of rolling rod in negative tolerance, and provides some exper- iences for its application in practical produrtion.
The paper presents the characteristics measuring, data processing,development of processing system,its working principle,design features and application of image window technology in the image identification system.
Design and analysis of small-molecule antineoplastic agents targeting brain tumors by utilizing pattern recognition methods and
Another pattern recognition method known as non-metric multidimensional scaling discerned finer associations that fell within categorizations by low, moderate, and higher formula weight.
1H-NMR spectroscopy and pattern recognition (PR) method were used to assess the acute biochemical effects of light rare earths.
Minimum squared error (MSE) algorithm is one of the classical pattern recognition and regression analysis methods, whose objective is to minimize the squared error summation between the output of linear function and the desired output.
We use pattern recognition technology to confirm the proportionate relationship matching the database and thus achieve the goal of dynamic automatic identification of standing tree limbs.
A limited number of publications exist related to methods used for the purpose of ear image identification and the growing field of ear biometrics but to date, a computerised system for earprint identification does not exist.
Additionally, we have tested the possibility of reliable image identification from gamma corrected images.
Find the annotations for an image, given the image identification number.
For flower image identification and retrieval, we need to segment the flower regions from the background before we can accura tely describe flowers.
Image identification and colour channel association are summarised in Table 1 and Figure 4.