Abstract: The present invention provides a stroboscopic optical image mapping system comprising a control module, an optical module, and an image acquiring unit. The control unit forms a delayed pulse signal by modulating a first pulse signal having a plurality of pulses with a pulse period, wherein a time interval between two adjacent pulses of the delayed pulse signal has a time difference with respect to the pulse period. The optical module provides an incident light to be projected on an organic object, which has a dye therein and is stimulated by a second pulse signal for generating a sequential action potential. The fluorescence generates from the dye inside the organic object, which corresponds to the intensity of the sequential action potential. The image acquiring unit is actuated to acquire the fluorescent light according to the delayed pulse signal, thereby forming a plurality of fluorescent images.

Abstract: The present invention provides a stroboscopic optical image mapping system comprising a control module, an optical module, and an image acquiring unit. The control unit forms a delayed pulse signal by modulating a first pulse signal having a plurality of pulses with a pulse period, wherein a time interval between two adjacent pulses of the delayed pulse signal has a time difference with respect to the pulse period. The optical module provides an incident light to be projected on an organic object, which has a dye therein and is stimulated by a second pulse signal for generating a sequential action potential. The fluorescence generates from the dye inside the organic object, which corresponds to the intensity of the sequential action potential. The image acquiring unit is actuated to acquire the fluorescent light according to the delayed pulse signal, thereby forming a plurality of fluorescent images.

Abstract: A method and a device for classifying an image are provided. The method includes: extracting a set of features as a feature vector, wherein the extracting includes: for each feature of the feature vector, determining a plurality of first areas arranged along a first axis and a plurality of second areas arranged along a second axis intersecting with the first axis; calculating the first differences between the sums of the pixels or the mean values of the plurality of first areas and the second differences between the sums of the pixels or the mean values of the plurality of second areas; and calculating the magnitude of gradient and the direction of gradient based on the first differences and the second differences, so as to form each feature; and according to the extracted feature vector, classifying the image.

Abstract: A method of and an apparatus for classifying an image are disclosed.

Abstract: A method is disclosed for the prevention and alleviation of pathologic changes in the eye such as diabetic retinopathy or senile macular degeneration. The claimed method involves the parenteral administration of anisodamine in an amount effective for preventing or alleviating these pathogenic changes.

Abstract: A method is disclosed for the prevention and alleviation of pathologic changes in the eye such as diabetic retinopathy or senile macular degeneration. The claimed method involves the parenteral administration of anisodamine in an amount effective for preventing or alleviating these pathogenic changes.