Abstract: The present invention discloses an image processing method and apparatus, where the method includes: downscaling an image to be processed; identifying identifiable targets in the downscaled image, and localizing temporary unidentifiable targets in the downscaled image; identifying the temporary unidentifiable targets at positions, corresponding to localized positions in the downscaled image, in the image to be processed. According to the present invention, only one object lens is needed to obtain the image to be processed, and no switching process between a high magnification lens and a low magnification lens is required during a target screening process; so that image identification speed is increased, and mechanical errors and offset in positioning are avoided.

Abstract: The disclosure provides a device and a method for performing morphological analysis for erythrocytes, wherein the method for performing morphological analysis for erythrocytes comprises: collecting a morphological image of each of cells in a sample through a Charge Coupled Device (CCD) after amplifying the sample through an automatic microscope; segmenting and positioning the image and extracting target feature parameters after digitizing the image through an image-digital converter; isolating morphological feature parameters of each of the erythrocytes through a classifier established on the basis of the neural network, and normalizing each type of the morphological feature parameters of the erythrocytes through a feature fusion device established on the basis of fuzzy clustering; performing a statistical analysis on each type of normalized parameters obtained or performing a comprehensive statistical analysis according to a plurality of types of parameters, and expressing the result of the statistical analy

Abstract: The present invention discloses an image processing method and apparatus, where the method includes: downscaling an image to be processed; identifying identifiable targets in the downscaled image, and localizing temporary unidentifiable targets in the downscaled image; identifying the temporary unidentifiable targets at positions, corresponding to localized positions in the downscaled image, in the image to be processed. According to the present invention, only one object lens is needed to obtain the image to be processed, and no switching process between a high magnification lens and a low magnification lens is required during a target screening process; so that image identification speed is increased, and mechanical errors and offset in positioning are avoided.

Abstract: The disclosure provides a device and a method for performing morphological analysis for erythrocytes, wherein the method for performing morphological analysis for erythrocytes comprises: collecting a morphological image of each of cells in a sample through a Charge Coupled Device (CCD) after amplifying the sample through an automatic microscope; segmenting and positioning the image and extracting target feature parameters after digitizing the image through an image-digital converter; isolating morphological feature parameters of each of the erythrocytes through a classifier established on the basis of the neural network, and normalizing each type of the morphological feature parameters of the erythrocytes through a feature fusion device established on the basis of fuzzy clustering; performing a statistical analysis on each type of normalized parameters obtained or performing a comprehensive statistical analysis according to a plurality of types of parameters, and expressing the result of the statistical analy