Images Processing for Segmentation Neisseria Bacteria Cells

نویسندگان

چکیده

This paper introduces the segmentation of Neisseria bacterial meningitis images. Images is an operation identifying homogeneous location in a digital image. The basic idea behind called thresholding, which be classified as single thresholding and multiple thresholding. To perform images segmentation, transformations morphological operations processes are used to segment images, well image transformation edge detecting, filling operation, design structure element, arithmetic technique implement segmentation. represent significant step extracting features diagnoses disease by computer software applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Identification of Seed Cells in Multispectral Images for GrowCut Segmentation

The segmentation of satellite images is a necessary step to perform object-oriented image classification, which has become relevant due to its applicability on images with a high spatial resolution. To perform object-oriented image classification, the studied image must first be segmented in uniform regions. This segmentation requires manual work by an expert user, who must exhaustively explore...

متن کامل

Comparison of segmentation algorithms for fluorescence microscopy images of cells.

The analysis of fluorescence microscopy of cells often requires the determination of cell edges. This is typically done using segmentation techniques that separate the cell objects in an image from the surrounding background. This study compares segmentation results from nine different segmentation techniques applied to two different cell lines and five different sets of imaging conditions. Sig...

متن کامل

Neural Network-Based Learning Kernel for Automatic Segmentation of Multiple Sclerosis Lesions on Magnetic Resonance Images

Background: Multiple Sclerosis (MS) is a degenerative disease of central nervous system. MS patients have some dead tissues in their brains called MS lesions. MRI is an imaging technique sensitive to soft tissues such as brain that shows MS lesions as hyper-intense or hypo-intense signals. Since manual segmentation of these lesions is a laborious and time consuming task, automatic segmentation ...

متن کامل

a new markov random field segmentation method for breast lesion segmentation in mr images

breast cancer is a major public health problem for women in the iran and many other parts of the world. dynamic contrast-enhanced magnetic resonance imaging (dce-mri) plays a pivotal role in breast cancer care, including detection, diagnosis, and treatment monitoring. but segmentation of these images which is seriously affected by intensity inhomogeneities created by radio-frequency coils, is a...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: World Journal Of Advanced Research and Reviews

سال: 2021

ISSN: ['2581-9615']

DOI: https://doi.org/10.30574/wjarr.2021.12.3.0672