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Blood cell analysis is becoming more and more attainable and worthy for blood diseases diagnosis. And blood cell segmentation is an important step for automated blood cells analysis based on image processing. This paper presented an improved support vector machine algorithm for blood cell segmentation for molecular hyperspectral images processing. This algorithm combined SVM with iterative self-organizing...
Blood cell analysis, including blood cell counting, is the key point for modern pathological study as well as medical diagnosis. Taking into account both resources and environment of the medical research, analyzing blood cells under the microscope, instead of dedicated blood cell analyzer, provides a more intuitive and convenient way for research uses. This paper aims to provide a method to count...
Hyperspectral remote sensing is a frontier field of the remote sensing technology, and it has broad applications. In the clinical field, the use of hyperspectral images to make blood cell segmentation and identification can avoid shortcomings of the traditional optical detection. Also, the study of blood cell segmentation using hyperspectral images is limited. Spectral angle mapping (Sam) and spectral...
With the in-depth study of microscopic objects, traditional optical microscopes no longer suffice for scientific researches in some occasions because of its limited depth of the imaging device. In this paper, we propose a new method of four-dimensional image information processing to realize four-dimensional reconstruction for smaller objects. This new method combines the 3D reconstruction method...
The segmentation of red blood cells and white blood cells has important research value in the field of rheological properties of blood and the pathogenesis of some diseases. And it is the reflection of bone hematopoietic state, blood diseases and other diseases. Especially for the diagnosis of blood diseases, the detection and prevention of treatment process, there is high value of clinical research...
In the diagnosis of skin diseases by analyzing histopathological images of skin sections, the automated segmentation of cells in the epidermis area is an important step. Light microscopy based traditional methods usually cannot generate satisfying segmentation results due to complicated skin structures and limited information of this kind of image. In this study, we use a molecular hyperspectral imaging...
Utilizing both spectral and spatial information, hyperspectral images provide more detail than the single point spectroscopy or traditional images. With the improvement of hyperspectral imaging instrumentation, hyperspectral data analysis techniques are getting more attention. However, desired analysis and results depend strongly on the quality of image preprocessing. In this paper, we obtained hyperspectral...
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