New white blood cell detection technique by using singular value decomposition concept
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New white blood cell detection technique by using singular value decomposition concept White blood cell detection technique Achmad Abdurrazzaq1,2
· Ahmad Kadri Junoh1 · Zainab Yahya1 · Ismail Mohd3
Received: 22 May 2020 / Revised: 7 September 2020 / Accepted: 17 September 2020 / © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Segmentation technique is a commonly used method to detect white blood cells. The segmentation technique aims to separate the blood image into several parts based on the similarity of features in the image. Therefore, the detection results do not completely contain white blood cells but also contain other parts with similar features to white blood cells. This study proposes a new detection technique that directly considers the features of white blood cells using singular value decomposition approach. The experimental results show that the proposed method works better in detecting white blood cell nuclei than the existing methods. The existing methods only work well for white blood cells with dense color intensities such as basophil and monocyte. Meanwhile, the proposed method works well overall as it directly compares the level of similarity in white blood cells. Keywords Singular value decomposition · Image detection · White blood cell · Image segmentation
1 Introduction Object detection is the detecting process of certain class object in an image or video [1, 6, 22]. In the field of computer vision, object detection is very important role in performing some tasks such as surveillance camera, vehicle navigation, and others. The term of object detection is closely related to computer vision, because the term is always associated with the detection of moving objects captured by the surveillance camera. The detection object Achmad Abdurrazzaq
[email protected] 1
Institute of Engineering Mathematics, Universiti Malaysia Perlis, Kampus Pauh Putra, 02600, Arau, Perlis, Malaysia
2
Department of Mathematics, Faculty of Military Mathematics and Natural Sciences, Indonesia Defense University, IPSC Area, Sentul, Bogor 16810, Indonesia
3
Akademi Ilmuwan Sains Matematik Malaysia, Institute for Mathematical Research, Universiti Putra Malaysia, 43400, UPM, Serdang Selangor, Malaysia
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from video of the surveillance camera is a detection process for moving objects in reallife 3D projected on 2D monitor or form [1–4]. In the medical field, the development of detection methods aims to facilitate the work of medical personnel. Blood cell detection is an example of the implementation of image processing in the medical field. In contrast to the detection techniques commonly used for moving objects, blood cell detection methods are aimed at stationary images [9, 13, 16, 17]. There are four components in blood, namely plasma, red blood cells, white blood cells, and platelets, which play an important role in identifying blood diseases. White blood cells are the part of the blood that serves as an immune system and have a small nu
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