Description, Recognition and Analysis of Biological Images

Description, recognition and analysis biological images plays an important role for human to describe and understand the related biological information. The color imagesare separated by color reduction. A new and efficient linearization algorithm is introduced based onsome criteria of differencechain code. A series of critical points isgot based on the linearized lines. The series of curvature angle, linearity, maximum linearity, convexity, concavity and bend angle of linearized lines are calculated from the starting line to the end line along all smoothed contours. The useful method can be used for shape description and recognition. The analysis, decision, classification of the biological imagesare based on the description of morphological structures, color information and prior knowledge, which are associatedeach other. The efficiency of the algorithms is described based on two applications. One application is the description, recognition and analysis of color flower images. Another one is related to the dynamic description, recognition and analysis of cellcycle images