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In this contribution, an algorithm is presented, which is able to extract the shortest linear edge and the longest diagonal of each single isolated human insulin crystal region, which is found in an arbitrary image captured by an insitu microscope inside of a reactor, where a human insulin crystallization processes is taking place. First, the image regions of the single isolated crystals are segmented...
In this contribution, a new algorithm to estimate the cell count from an intensity image of Baby Hamster Kidney (BHK) cells captured by an in-situ microscope is proposed. Given that the local intensity maxima inside a cell share similar location and intensity values, it is proposed to find all the intensity maxima inside each cell cluster present in the image, and then group those who share similar...
Current work in object categorization discriminates among objects that typically possess gross differences which are readily apparent. However, many applications require making much finer distinctions. We address an insect categorization problem that is so challenging that even trained human experts cannot readily categorize images of insects considered in this paper. The state of the art that uses...
In this contribution, an algorithm is presented for counting cells in the first-, second- and third-layers of three-dimensional three-layer cell clusters from a static intensity image captured by an in-situ microscope. The number of cells in an arbitrary cell cluster is estimated as the ratio between the sum of the areas of the image regions of the parallel projections of the first-, second- and third-layers...
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