摘要:
Two color transformations, as described herein, facilitate identification of the objects of interest in the biological specimen. One of the color transformations, aMinus Clear Plus One (MC+1) transformation, can be conceptualized as either translating and rotating axes of a three-dimensional coordinate space that defines an image of the biological specimen or calculating differences between vectors in the three dimensional coordinate space that defines the image of the biological specimen. The other of the color transformations, a Quantitative Chromatic Transformation (QCT), is a colorimetric transformation that produces three new quantities from the original red, green, and blue pixel values for each color pixel of an image. These three new quantities, X, Y, and Z can each be related to the quantitative amount of absorbing molecules sampled by that pixel. Application of one or both of the color transformations to the image of the biological specimen results in a transformed image, in which objects of interest are more readily identifiable.
摘要:
Two color transformations, as described herein, facilitate identification of the objects of interest in the biological specimen One of the color transformations, a Minus Clear Plus One (MC+1) transformation, can be conceptualized as either translating and rotating axes of a three-dimensional coordinate space that defines an image of the biological specimen or calculating differences between vectors in the three dimensional coordinate space that defines the image of the biological specimen. The other of the color transformations, a Quantitative Chromatic Transformation (QCT), is a colorimetric transformation that produces three new quantities from the original red, green, and blue pixel values for each color pixel of an image. These three new quantities, X, Y, and Z can each be related to the quantitative amount of absorbing molecules sampled by that pixel. Application of one or both of the color transformations to the image of the biological specimen results in a transformed image, in which objects of interest are more readily identifiable.
摘要:
Two color transformations, as described herein, facilitate identification of the objects of interest in the biological specimen One of the color transformations, a Minus Clear Plus One (MC+1) transformation, can be conceptualized as either translating and rotating axes of a three-dimensional coordinate space that defines an image of the biological specimen or calculating differences between vectors in the three dimensional coordinate space that defines the image of the biological specimen. The other of the color transformations, a Quantitative Chromatic Transformation (QCT), is a colorimetric transformation that produces three new quantities from the original red, green, and blue pixel values for each color pixel of an image. These three new quantities, X, Y, and Z can each be related to the quantitative amount of absorbing molecules sampled by that pixel. Application of one or both of the color transformations to the image of the biological specimen results in a transformed image, in which objects of interest are more readily identifiable.
摘要翻译:如本文所述的两种颜色变换便于识别生物样本中感兴趣的对象。颜色变换之一,Minus Clear Plus One(MC + 1)转换可以被概念化为三维变换的平移和旋转轴, 定义生物样本图像的三维坐标空间或者计算生物样本图像的三维坐标空间中的向量之间的差异。 颜色变换中的另一个是定量色变换(QCT),是一种比色变换,其从图像的每个颜色像素的原始红色,绿色和蓝色像素值产生三个新的量。 这三个新量X,Y和Z各自可以与由该像素采样的吸收分子的定量相关。 将一种或两种颜色变换应用于生物样本的图像产生变换图像,其中感兴趣的对象更易于识别。
摘要:
Two color transformations, as described herein, facilitate identification of the objects of interest in the biological specimen. One of the color transformations, aMinus Clear Plus One (MC+1) transformation, can be conceptualized as either translating and rotating axes of a three-dimensional coordinate space that defines an image of the biological specimen or calculating differences between vectors in the three dimensional coordinate space that defines the image of the biological specimen. The other of the color transformations, a Quantitative Chromatic Transformation (QCT), is a colorimetric transformation that produces three new quantities from the original red, green, and blue pixel values for each color pixel of an image. These three new quantities, X, Y, and Z can each be related to the quantitative amount of absorbing molecules sampled by that pixel. Application of one or both of the color transformations to the image of the biological specimen results in a transformed image, in which objects of interest are more readily identifiable.