The structure pattern recognition based on crack code, the crack code tracing algorithm of microphotograph, the image segmentation method based on convex function and the boundary integral algorithm of image set size were proposed, according to which the mineral paniculate size was calculated The method of marking graduation and the recognition of bacteria dynamic image were also discussed.
Focusing on the master paper, the writer carried out the application research work, based on the achieves of the Artificial Neural Networks researchers, the author applied the BP theory in the pattern recognition creatively, and have tried a series of experiments, especially in the clarity of digital image, as a result, the outlets are satisfy.
On the basis of pattern recognition analysis and in the light of the spectrum of light source, the spectral response of CCD sensor as well as the spectral reflectance of kernels, it is found that for the black and white image recognition system the optimum light source is a monochromatic light,the wave length of which is that rendering the series response of the difference between the spectral reflectances of two objects and the CCD sensor spectral response maximum.
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.