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Automated analysis and recognition of cell-nuclear phases using fluorescence microscopy images play an important role for high-content screening. A major task of automated imaging based high-content screening is to segment and reconstruct each cell from the touching cell images. In this paper we present new useful method for recognizing morphological(More)
In this paper, a new method of reconstructing broken handwritten digits is developed. The conditional dilation algorithm is used to bridge small gaps. Spurious segments introduced during extraction of digit "elds are detected and deleted based on the morphological structural analyses of digit "elds. A set of structural points of digits are detected along(More)
In this paper, we develop a new method to separate touching handwritten multi-numeral strings using morphological structural features. The touching numeral string is preprocessed with an e$cient algorithm for smoothing, linearization and detection of structural points of image contours. Based on the analysis of morphological structure in a string, the(More)