Average Cell Orientation, Eccentricity and Size Estimated from Tissue Images

Systems Design;composite cell;average cell;shape detection;geometry;texture;texture element;orientation;aspect ratio;cell area;spatial-frequency;embryology;morphogenesis;tissue mechanics;microscopy

Iles, Peter

University of Waterloo

关键词: Systems Design;    composite cell;    average cell;    shape detection;    geometry;    texture;    texture element;    orientation;    aspect ratio;    cell area;    spatial-frequency;    embryology;    morphogenesis;    tissue mechanics;    microscopy;   

Others  :  https://uwspace.uwaterloo.ca/bitstream/10012/905/1/pjwiles2005.pdf

瑞士|英语

来源: UWSPACE Waterloo Institutional Repository

【 摘 要 】

Five image processing algorithms are proposed to measure theaverage orientation, eccentricity and size of cells in images of biological tissue. These properties, which can be embodied by an elliptical ;;composite cell;;, are crucial for biomechanical tissue models. To automatically determine these properties is challenging due to the diverse nature of the image data, with tremendous and unpredictable variability in illumination, cell pigmentation, cell shape and cell boundary visibility. One proposed algorithm estimates the composite cell properties directly from the input tissue image, while four others estimate the properties from frequency domain data. The accuracy and stability of the algorithms are quantitatively compared through application to a wide variety of real images. Based on these results, the best algorithm is selected.