Identification of components of fibroadenoma in cytology preparations using texture analysis: a morphometric study

Objective: Our aim is to show the possibility of using different image processing techniques for blood smear analysis. Also our aim is to determine the sequence of image processing techniques to identify megaloblastic anemia cells. Methods: We consider blood smear image. We use a variety of image processing techniques to identify megaloblastic anemia cells. Among these methods, we distinguish the modification of the color space and the use of wavelets. Results: We developed a sequence of image processing techniques for blood smear image analysis and megaloblastic anemia cells identification. As a characteristic feature for megaloblastic anemia cells identification, we consider neutrophil image structure. We also use the morphological methods of image analysis in order to reveal the nuclear lobes in neutrophil structure. Conclusion: We can identify the megaloblastic anemia cells. To do this, we use the following sequence of blood smear image processing: color image modification, change of the image contrast, use of wavelets and morphological analysis of the cell structure.

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“…Singh and R. Gupta [17] suggest using filtering to improve image quality. But then we can also delete the details of the image.…”

Section: Discussionmentioning

confidence: 99%

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Babker

Lyashenko

2018

IJCBR

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“…Singh and R. Gupta [8], G. Mahendran, R. Babu and D. Sivakumar [9], M. Saha, S. Agarwal, I. Arun, R. Ahmed, S. Chatterjee, P. Mitra and C. Chakraborty 10], examine the possibility of applying different methods of analyzing in the study images of cytological preparations. The following are considered as the main ones: preliminary processing, the purpose of which is to improve the quality of perception and the subsequent processing of the original image; threshold segmentation, which allows isolating the cell nucleus.…”

Section: Images Of Cytological Preparations As An Object Of Researchmentioning

confidence: 99%

Using of Color Model and Contrast Variation in Wavelet Ideology for Study <i>Megaloblastic Anemia Cells</i>

Lyashenko¹,

Babker²

2017

OJBD

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Processing and analyzing of medical images is one of the priority research areas. At the same time, the processing of images of cells occupies a special place. This is due to the fact that such studies allow for a comprehensive diagnosis of the state of human health, identify and prevent the development of diseases in the early stages. We investigate the effectiveness of using wavelet analysis in color models, taking into account the preliminary change in the contrast of the input image. We consider the HSV color model and the image contrast modification procedure, which is based on the histogram change in the specified range with gamma correction. As a criterion for choosing parameters for changing the contrast of the image, we consider the entropy of the image. We also showed the advisability of using the value of the entropy index for the subsequent improvement of image analysis based on the wavelet ideology. We examined the general sequence of action for the analysis of image of megaloblastic anemia cells. This sequence is based on the choice of parameters for changing the contrast of the image and application of wavelet ideology.

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“…The following image processing methods have been chosen as the main ones for this study: preliminary processing, which aims at improving the perceptual quality and subsequent processing of the original image; threshold segmentation, which allows isolating the cell nucleus; Mahendran et al discussing the issues of segmentation and classification of cells cytology preparations images 7 . Particular attention is given to the pre-processing of source images in order to obtain more reliable results; Singh and Gupta, who examine the possibility of applying the texture analysis methods for cytology preparations 8 . At the same time, the authors point out that the isolation and analysis of the texture of the original image involves implementation of images pre-processing, where filtration and change of contrast can be allotted.…”

Section: The General Ideology Of Post-processing Of Cytology Preparatmentioning

confidence: 99%

Sitoloji preperatlarının görüntü işlenmesi için bir araç olarak dalgacık analizi metodolojisi

Lyashenko¹,

Babker²,

Kobylin³

2016

Cukurova Medical Journal (Çukurova Üniversitesi Tıp Fakültesi Dergisi)

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ÖzPurpose: The aim of this study was to determine the possibility of using wavelet analysis for processing images of cytology preparations. Material and Methods: A set of different images of cytology preparations were analyzed through changes in their contrast and application of the methodology of the wavelet analysis. Results: Developed procedure of processing of cytology preparations images. Procedure of processing of cytology preparations images allows to qualitatively (in terms of their visualization) allocating: cells' edges, cell nuclei, revealing in more detail textural features of cells' images, which allows analyzing cell structure. Conclusion: Consider the possibility and feasibility issues of applying wavelet analysis for processing cytology preparations images. This improves the quality of the analysis of cytology preparations images. This allows the to properly diagnose.Amaç: Bu çalışmanın amacı sitoloji preperatlarının görüntülerinin işlenmesinde dalgacık analizlerinin kullanılma olasılığını belirlemektir. Gereç ve Yöntem: Sitoloji preparatlarının farklı bir görüntü seti, kontrastlarindaki değişimler ve dalgacık analizlerinin metolojik uygulamalarıyla analiz edildi. Bulgular: Sitoloji preparat görüntülerinin işlenmesi prosedürü geliştirildi. Sitolojik preparat görüntü işlenmesi prosedürü kalitatif olarak (görüntüleme açısından) birçok yapının (hücre yapısının analizi, hücre görüntülerinin yapısal özellikleri, hücre sınırları, ve hücre nukleusları) tanımlanmasına izin verir Sonuç: Sitolojik preparatların görüntüleme işlenmesi için dalgacık analizlerinin uygulanabilirligi ve yapılabilirliginin düşünülmesi. Bu işlem sitolojik preparatların görüntüleme analizi kalitesini iyileştirir dolayısıyla bu da daha uygun şekilde tanıya olanak tanıyacaktır.

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Identification of components of fibroadenoma in cytology preparations using texture analysis: a morphometric study

Cited by 3 publications

References 16 publications

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Using of Color Model and Contrast Variation in Wavelet Ideology for Study <i>Megaloblastic Anemia Cells</i>

Sitoloji preperatlarının görüntü işlenmesi için bir araç olarak dalgacık analizi metodolojisi

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Identification of components of fibroadenoma in cytology preparations using texture analysis: a morphometric study

Cited by 3 publications

References 16 publications

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Identification of Megaloblastic Anemia Cells Through the Use of Image Processing Techniques

Using of Color Model and Contrast Variation in Wavelet Ideology for Study &lt;i&gt;Megaloblastic Anemia Cells&lt;/i&gt;

Sitoloji preperatlarının görüntü işlenmesi için bir araç olarak dalgacık analizi metodolojisi

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Using of Color Model and Contrast Variation in Wavelet Ideology for Study <i>Megaloblastic Anemia Cells</i>