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Chapter 74 A Leukocyte Detection System Using Scale Invariant Feature Transform Method

机译:第74章使用尺度不变特征变换方法的白细胞检测系统

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This paper describes an automatic detection and recognition system of leukocytes on a given microscopic image. The developed system detects the locations of leukocytes from a blood cell image. After the automatic detection, the system classifies each leukocyte in one of the five categories (neutrophils, eosi-nophils, basophils, lymphocytes, and monocytes). The system processes an input image with the Scale Invariant Feature Transform (SIFT) algorithm for leukocyte detection. Meanwhile, two different recognition methods, i.e. the Euclidean distance and the Co-occurrence matrix methods are applied for automatic recognition. The combination of detection and recognition approaches provide the optimal recognition accuracies for almost all leukocyte types.
机译:本文描述了在给定显微图像上的白细胞自动检测和识别系统。开发的系统从血细胞图像中检测白细胞的位置。自动检测后,系统将每个白细胞分为五类(嗜中性粒细胞,嗜酸性粒细胞,嗜碱性粒细胞,淋巴细胞和单核细胞)之一。系统使用尺度不变特征变换(SIFT)算法处理输入图像,以进行白细胞检测。同时,将两种不同的识别方法,即欧氏距离和共现矩阵方法应用于自动识别。检测和识别方法的结合为几乎所有类型的白细胞提供了最佳的识别精度。

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