Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue-...Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue- surface reflection problem. Neighbouring and similar region's information was used to restore the region with tongue- surface reflection problem by replacement. Secondly, the restored image was transformed into a gray one, and then processed by mathematical morphological operation- dilation to get a closed- loop edge. The third technique used was watershed algorithm, which is an usual tool in image segmentation. 'Watershed' function of matlab software was used to complete this algorithm. After that, region- combination technique was used. Through measuring neighbourship and similarity of regions, a non- objective and non- background region was merged into one of its neighbouring regions. This step was repeated until only two regions, objective and background regions, were left in the image. At last, corresponding to the merged image, tongue- body image was got from the original image. Results: 316 images were randomly taken from the image library for experiments, and 299 images were correctly segmented, so, the successful ratio is 94.62%. On the other hand, average time of running this method was about 50 s under whole sampling environment. Conclusion: The method presented in this paper can segment a tongue- body image from its original one effectively, and thus laying a good foundation for the following analysis work.展开更多
This study was conducted to clarify the distribution and morphology of free neuromasts during the development of half-smooth tongue sole (Cynoglossus semilaevis) using scanning electron microscopy. During developmen...This study was conducted to clarify the distribution and morphology of free neuromasts during the development of half-smooth tongue sole (Cynoglossus semilaevis) using scanning electron microscopy. During development, (1) the apical surface of free neuromasts changed in shape from a circle to a four-poiut star; (2) the external structure changed from being level with the epidermis to papilla-like above the level of the epidermis; (3) the neuromast cupula changed from cylindrical to blade-shaped; (4) the free neuromasts went from occurring singly to being in clusters of a few single organs; (5) the arrangement changed from a linear array to no discernable pattern; (6) there was a significant increase in the number of free neuromasts after metamorphosis. In adult C. semilaevis, free neuromasts were only observed on the abocular side of the head. Thus, there were more free neuromasts located on the abocular side of the head with a higher concentration around the anterior nostril and mouth, which may have a mechanical sensory function to help locate food as an adaptation to a benthic mode of life.展开更多
基金National Natural Science Foundation of China grant number: 30371717
文摘Objective: To propose a method to segment tongue- images efficiently, and extract tongue- body accurately and quickly. Methods: Firstly, a kind of color- images' pre- processing technique was used to solve tongue- surface reflection problem. Neighbouring and similar region's information was used to restore the region with tongue- surface reflection problem by replacement. Secondly, the restored image was transformed into a gray one, and then processed by mathematical morphological operation- dilation to get a closed- loop edge. The third technique used was watershed algorithm, which is an usual tool in image segmentation. 'Watershed' function of matlab software was used to complete this algorithm. After that, region- combination technique was used. Through measuring neighbourship and similarity of regions, a non- objective and non- background region was merged into one of its neighbouring regions. This step was repeated until only two regions, objective and background regions, were left in the image. At last, corresponding to the merged image, tongue- body image was got from the original image. Results: 316 images were randomly taken from the image library for experiments, and 299 images were correctly segmented, so, the successful ratio is 94.62%. On the other hand, average time of running this method was about 50 s under whole sampling environment. Conclusion: The method presented in this paper can segment a tongue- body image from its original one effectively, and thus laying a good foundation for the following analysis work.
基金Supported by the earmarked fund for Modem Agro-Industry Technology Research System(CARS-50-G01)the Fund for Outstanding Talents and Innovative Team of Agricultural Scientific Research,the Qingdao Natural Science Foundation(No.12-1-4-12-(1)-jch)the Research Fund for the Postgraduate of Shanghai Ocean University(No.A1-0209-14-0900-5)
文摘This study was conducted to clarify the distribution and morphology of free neuromasts during the development of half-smooth tongue sole (Cynoglossus semilaevis) using scanning electron microscopy. During development, (1) the apical surface of free neuromasts changed in shape from a circle to a four-poiut star; (2) the external structure changed from being level with the epidermis to papilla-like above the level of the epidermis; (3) the neuromast cupula changed from cylindrical to blade-shaped; (4) the free neuromasts went from occurring singly to being in clusters of a few single organs; (5) the arrangement changed from a linear array to no discernable pattern; (6) there was a significant increase in the number of free neuromasts after metamorphosis. In adult C. semilaevis, free neuromasts were only observed on the abocular side of the head. Thus, there were more free neuromasts located on the abocular side of the head with a higher concentration around the anterior nostril and mouth, which may have a mechanical sensory function to help locate food as an adaptation to a benthic mode of life.