Abstract:
A microscopic image fusion method based on region growing judges the fuzzy degree of the microscopic image and determines the fuzzy seed block by evaluating the definition of every image block in the microscopic image. Then, the fuzzy region and clear region are exactly segmented by region growing and are marked. Finally, a clear and high-quality microscopic image, fused by a plurality of microscopic images, is obtained. Due to the combination of the definition evaluation of the microscopic image, and segmentation of the fuzzy region and clear region by region growing, the fusion results of the microscopic image of the present invention show great advantages at the subjective human perception and the objective evaluation. Furthermore, the present invention has simple calculation and stable result, is easy to be implemented and adapted for fusing the digital optical microscopic images which are shot by shallow depth of field.
Abstract:
A rapid autofocus method for a stereo microscope includes steps of: calculating a disparity of each of stereo microscopic images in a stereo microscopic calibration image sequence; extracting a clear stereo microscopic image sequence from the stereo microscopic calibration image sequence; then, finding out a largest disparity and a smallest disparity among the disparities of all the stereo microscopic images in the clear stereo microscopic image sequence; at a chosen magnification, arbitrarily acquiring a stereo microscopic image; finally, determining a disparity range according to the disparity of the acquired stereo microscopic image, the largest disparity and the smallest disparity, and realizing an autofocus of a target object in the acquired stereo microscopic images. The disparity range is obtained via once off-line calibration at the same magnification, and applicable to the autofocus at an arbitrary timing.
Abstract:
A rapid autofocus method for a stereo microscope includes steps of: calculating a disparity of each of stereo microscopic images in a stereo microscopic calibration image sequence; extracting a clear stereo microscopic image sequence from the stereo microscopic calibration image sequence; then, finding out a largest disparity and a smallest disparity among the disparities of all the stereo microscopic images in the clear stereo microscopic image sequence; at a chosen magnification, arbitrarily acquiring a stereo microscopic image; finally, determining a disparity range according to the disparity of the acquired stereo microscopic image, the largest disparity and the smallest disparity, and realizing an autofocus of a target object in the acquired stereo microscopic images. The disparity range is obtained via once off-line calibration at the same magnification, and applicable to the autofocus at an arbitrary timing.
Abstract:
A method for color correction of a pair of colorful stereo microscope images is provided, which transmits the color information of the foreground areas and the background area of the reference image to the aberrated image separately for avoiding transmission error of the color information of the varied areas of the pair of the images, thus sufficiently improves the accuracy of the color correction, reduces the difference between the color of the reference image and the color of the aberrated image, and well prepares for the stereo matching of the pair of colorful stereo microscope images as well as for the three-dimensional reconstruction and three-dimensional measurement; on the other hand, during the correction, the correcting procedure is provided automatically without manual work.
Abstract:
A microscopic image fusion method based on region growing judges the fuzzy degree of the microscopic image and determines the fuzzy seed block by evaluating the definition of every image block in the microscopic image. Then, the fuzzy region and clear region are exactly segmented by region growing and are marked. Finally, a clear and high-quality microscopic image, fused by a plurality of microscopic images, is obtained. Due to the combination of the definition evaluation of the microscopic image, and segmentation of the fuzzy region and clear region by region growing, the fusion results of the microscopic image of the present invention show great advantages at the subjective human perception and the objective evaluation. Furthermore, the present invention has simple calculation and stable result, is easy to be implemented and adapted for fusing the digital optical microscopic images which are shot by shallow depth of field.
Abstract:
The present invention discloses a microscopic three-dimensional measurement system and method based on a moving diaphragm. The present invention adds the diaphragm into the existing optical microscopic imaging system to limit light irradiation angle during imaging for reducing the diameter of blur circle, which extends the depth of field and the depth measurement range, so as to achieve the three-dimensional measurement of large-size objects to be measured. Through changing the position of the added diaphragm, two images with different light incident directions are obtained, which is similar to binocular stereo vision, and then the disparity map is used to predict the depth, so as to carry out the 3D scene reconstruction. Since the depth of field of the imaging system is enlarged and the imaging model has certain non-linear characteristics, the present invention uses quadratic function to express the non-linearity, which reduces the measurement error.
Abstract:
The present invention discloses a microscopic three-dimensional measurement system and method based on a moving diaphragm. The present invention adds the diaphragm into the existing optical microscopic imaging system to limit light irradiation angle during imaging for reducing the diameter of blur circle, which extends the depth of field and the depth measurement range, so as to achieve the three-dimensional measurement of large-size objects to be measured. Through changing the position of the added diaphragm, two images with different light incident directions are obtained, which is similar to binocular stereo vision, and then the disparity map is used to predict the depth, so as to carry out the 3D scene reconstruction. Since the depth of field of the imaging system is enlarged and the imaging model has certain non-linear characteristics, the present invention uses quadratic function to express the non-linearity, which reduces the measurement error.
Abstract:
A method for detecting a parfocality of a zoom-stereo microscope includes: acquiring four highest definitions corresponding to a plurality of images with a cooperation of four definition judging functions, acquiring a relatively clearest position according to the four highest definitions, comparing a definition in the relatively clearest position with a definition in a parfocal position to judge whether the relatively clearest position is the parfocal position, then adjusting a magnification of the zoom-stereo microscope to acquire the parfocal positions at a finite number of the discrete magnifications, and finally fitting a parfocal curve at the continuous magnifications. The method according to the present invention implements a parfocality detection of the stereo microscope automatically and effectively and increases a productivity, and has a high detecting precision. In addition, the method according to the present invention has a good robustness, so that users needn't intervene and adjust frequently.
Abstract:
A method for detecting a parfocality of a zoom-stereo microscope includes: acquiring four highest definitions corresponding to a plurality of images with a cooperation of four definition judging functions, acquiring a relatively clearest position according to the four highest definitions, comparing a definition in the relatively clearest position with a definition in a parfocal position to judge whether the relatively clearest position is the parfocal position, then adjusting a magnification of the zoom-stereo microscope to acquire the parfocal positions at a finite number of the discrete magnifications, and finally fitting a parfocal curve at the continuous magnifications. The method according to the present invention implements a parfocality detection of the stereo microscope automatically and effectively and increases a productivity, and has a high detecting precision. In addition, the method according to the present invention has a good robustness, so that users needn't intervene and adjust frequently.
Abstract:
A method for color correction of a pair of colorful stereo microscope images is provided, which transmits the color information of the foreground areas and the background area of the reference image to the aberrated image separately for avoiding transmission error of the color information of the varied areas of the pair of the images, thus sufficiently improves the accuracy of the color correction, reduces the difference between the color of the reference image and the color of the aberrated image, and well prepares for the stereo matching of the pair of colorful stereo microscope images as well as for the three-dimensional reconstruction and three-dimensional measurement; on the other hand, during the correction, the correcting procedure is provided automatically without manual work.