A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing

Biological Procedures Online

Farnoosh Sadeghian¹  Zainina Seman³  Abdul Rahman Ramli¹  Badrul Hisham Abdul Kahar²  M-Iqbal Saripan¹ 

[1] Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

[2] Sapura Secured Technologies, Section 10, Wangsa Maju, Kuala Lumpur, Malaysia

[3] Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

关键词: Zack thresholding;    Snake algorithm;    Active contours;    White blood cell segmentation;   

Others  :  797168
DOI  :  10.1007/s12575-009-9011-2

 received in 2009-04-14, accepted in 2009-05-21,  发布年份 2009

【 摘 要 】

Evaluation of blood smear is a commonly clinical test these days. Most of the time, the hematologists are interested on white blood cells (WBCs) only. Digital image processing techniques can help them in their analysis and diagnosis. For example, disease like acute leukemia is detected based on the amount and condition of the WBC. The main objective of this paper is to segment the WBC to its two dominant elements: nucleus and cytoplasm. The segmentation is conducted using a proposed segmentation framework that consists of an integration of several digital image processing algorithms. Twenty microscopic blood images were tested, and the proposed framework managed to obtain 92% accuracy for nucleus segmentation and 78% for cytoplasm segmentation. The results indicate that the proposed framework is able to extract the nucleus and cytoplasm region in a WBC image sample.

【 授权许可】

   
2009 Sadeghian et al.

【 图 表 】

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