Kauppinen, H. and Silven, O. " A Color Vision Approach for Grading Lumber " Theory and Applications of Image Processing II - Selected Papers from the 9 on Image Analysis,World Scientific,1995 Home/Search Document Not in Database Summary Related Articles Check |
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A Highly Adaptable Concept For Visual Inspection - Sablatnig (1997) (Correct)
....color is an important feature in apparel and food inspection, where changes in shade or variations in color indicate a defect. Humans are not reliable color inspectors, since they do not have a consistent color memory, making color inspection tasks like inspection of painted surfaces or wood [KAU95] appropriate for automated systems. Some of the applications of inspection systems using colors are the inspection of apples, Figure 2.12 Color used for segmentation of chicken for size determination (from [CHA90] tomatoes, oranges, lemons and the like, which are classified due to their size, ....
H. Kauppinen, O. Silven, "A Color Vision Approach for Grading Lumber", Proc. of 9th Scandinavian Conf. on Image Analysis, Uppsala, Vol.1, pp.41-48, 1995.
Self-Organizing Map Based User Interface for Visual .. - Kauppinen.. (1999) (1 citation) Self-citation (Kauppinen Silvn) (Correct)
....labelled, how the data is visualized, and how the classification is performed and adjusted. 3.1 Prototype User Interface An example of the prototype SOM based user interface is shown in Fig. 5, in which a 12x8 SOM has been trained with labelled samples from the wood defect classification problem [4]. The labels are given on the basis of the samples and shown in the nodes. The cluster boundaries are sketched with dashed lines drawn by hand. As an example, the amount of labelled good (defectless) samples hitting the nodes are shown in the nodes. We may notice that the discrimination between ....
H. Kauppinen and O. Silvn, A color vision approach for grading lumber, In: Theory & Applications of Image Processing II - Selected papers from the 9th Scandinavian Conference on Image Analysis (ed. G. Borgefors), World Scientific, 1995, pp. 367-379.
The Effect of Illumination Variations on Color-Based Wood.. - Kauppinen, Silvén Self-citation (Kauppinen) (Correct)
....proven to be powerful and simple to calculate, and not too sensitive to small changes in illumination. They are suitable to early detection of possible defective areas on lumber wood surfaces. The percentile features have discriminability also in defect classification, as in knot classification [20]. A percentile feature is the intensity value of that point of the color channel histogram, where a certain proportion, indicated by the percentile value, of the histogram distribution is to the left of that point. In addition to pure percentile values, percentile differences can be used as simple ....
Kauppinen H. and Silvén O.: Color Vision Approach for Grading Lumber, The 9th Scandinavian Conference on Image Analysis (9th SCIA), Uppsala, Sweden, vol. 1, pp. 41-48, 1995.
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Kauppinen, H. and Silven, O. " A Color Vision Approach for Grading Lumber " Theory and Applications of Image Processing II - Selected Papers from the 9 on Image Analysis,World Scientific,1995
Case Study: - Steel Surface Classification (Correct)
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Kauppinen H., Silven O. "A Color Vision Approach for Grading Lumber" Theory and Applications of Image Processing II, World Scientific, 1995
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