Foreign Body Shape Classification Using Intuitionistic Fuzzy Rule Based Approach on Pediatric Radiography Images

Foreign Body Shape Classification Using Intuitionistic Fuzzy Rule Based Approach on Pediatric Radiography Images

Vasumathy M., Mythili T.
Copyright: © 2020 |Pages: 13
DOI: 10.4018/IJCVIP.2020040104
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Abstract

Segmentation is the significant key stage in image analysis towards partitioning an image into different regions which have homogeneous features such as color, shape, and texture which is very important in classifying different region shapes in an image. In general, images are considered fuzzy due to the uncertainty present in terms of vagueness. The regions contain imprecise gray levels and uncertain data values which makes the task of defining the membership function difficult due to lack of precise knowledge. The intuitionistic fuzzy rule-based shape classification approach is used to classify the different shapes, such as circular, polygon, sharp, and irregular of the aspired foreign body on pediatric radiography images. Experimental results show the effectiveness of the proposed method in contrast to conventional fuzzy rule base algorithm.
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Some of the existing works are reviewed to observe the significance of identifying features such as size shape and location of the aspired foreign body.

Table 1.
Significance of identifying aspired foreign body
Author(s)Observation for Assessing the Significance of Identifying Aspired Foreign Body
Fung (2019)The author presents an expert vision classification of ingested foreign objects based on their size, shape and location and provided the evidence and experience-based guidance and updates regarding the diagnosis and management of foreign body incident.
He (2018)The author analyzed the clinical characteristic of different foreign body injuries in children during the year 2012-2016. The study concludes with the classification of foreign body shape and locations.
Lee (2018) The author discussed about the shape of aspired foreign body objects and their endoscopic removal. The classification of shape is done with medical expert vision.
Puja (2017) The author classified the aspired foreign bodies based on their shape using manual expert vision and also discussed about the commonest anatomic locations for foreign body lodgment.
Laza (2017) The Author discussed about the risk factors of foreign body aspiration and reported that the importance of recording aspired foreign body shape, size, type and lodgment anatomic location via case studies.
Zang (2017) The types of foreign bodies, common location of foreign bodies, common symptoms and diagnosis complications are presented.
Mahajan (2017) Preoperative demographic data, time interval between aspiration and admission, circumstances of aspiration, suspected type and site of FB, clinical presentation of children presented with suspected FB aspiration was evaluated
Michael et al. (2016)Presented a detailed classification of foreign bodies according to their shape and size. Aspired foreign bodies are classified as blunt or round objects such as coin, button, toy, batteries and magnets. Sharp-pointed objects such as needle, toothpick, bone, safety-pin and glass pieces. Sharp irregular shape objects such as partial denture and razor blade. Long objects such as string and cord.
Tseng (2015)Discussed about the important imaging and clinical features of foreign bodies and concluded that, it is necessary to note the location, size, shape, and number of the foreign bodies aspired.
Ali Jafari (2014)Presented a study about foreign body aspiration from 2001–2011 with 105 case. Presented a report about common aspired foreign body objects, common location, size and shape of the trapped objects.
Ali Abd-El Gawad (2014)The study concluded that the diagnosis of foreign body characteristics and management of aspirated foreign body is very important to prevent serious complications.
Khan et al. (2016)The proposed an algorithm with image fusion using a discrete wavelet transform and produce significant enhancement in the degraded pediatric X-ray images.
Firoz et al. (2016)The enhancement method results indicate that this morphological transform method improves the contrast of medical images and can help with better diagnosis.
Kramer et al. (2015)The review concludes, to determine treatment procedure of FBA requires assessment of foreign body size, shape, type, location.

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