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Color-image processing: An introduction with some medical application-examples

机译:彩色图像处理:一些医疗应用实例的简介

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Color is that attribute of light-energy which is related to the wavelength. It is well known that color carries a very important part of information regarding objects of interest in an image. This talk introduces the audience to the representation of color (color-models) and color-based segmentation of images, with several illustrative examples from the speaker's research-experience in this area over the past few years. Application-examples considered in this talk include (i) wound-image processing, (ii) TB-screening, and (iii) Segmentation of Fascia. The first step in the treatment of wounds is that of visual assessment of the wound-site. Of the various parameters, color is an important indicator of wound-composition, due to one-to-one correspondence between the tissue-type/pigmentation and color. Since visual assessment is tedious and subjective, digital color-image processing is helpful in rendering the process automatic and also allow documentation and monitoring. Color-composition within a wound-site can be assessed by building a data-base of wound-color-types in the color-space, and using the same for classification upon the presentation of a new wound. A total of eight types of tissue/pigmentation have been shown to exist. Tuberculosis (TB) is a serious illness that can result in mortality if neglected. Pulmonary TB is the most infectious, and is generally detected by a visual examination of highly magnified images of stained sputum smear. Since visual examination is tedious and can result errors, it would be useful to develop an automatic TB screening method. The method of color-segmentation described in the case of wound-image processing works on images of ZN-stained sputum smears, towards segmenting candidate bacterial structures from the background. After color-based segmentation, certain post-processing techniques allow a counting of the number of bacilli in images of stained sputum smear, which provide the degree of infection. Human abdominal-fascia co--nsists of collagen and elastic fibers, and knowing the relative content of these fibers can be useful in plastic surgery. It has been shown that a convenient color-model exists, that can be used for segmenting the two types of fibers from an appropriately stained fascia.
机译:颜色是与波长有关的光能属性。众所周知,颜色承载着有关图像中感兴趣对象的信息的非常重要的部分。本演讲向听众介绍了颜色(颜色模型)的表示形式以及基于颜色的图像分割,并列举了发言人在过去几年中在该领域的研究经验中的几个示例。在本次演讲中考虑的应用示例包括(i)伤口图像处理,(ii)结核病筛查和(iii)筋膜分割。伤口治疗的第一步是视觉评估伤口部位。在各种参数中,由于组织类型/色素沉着和颜色之间一一对应,颜色是伤口组成的重要指标。由于视觉评估既繁琐又主观,因此数字彩色图像处理有助于自动实现过程,并可以进行文档记录和监视。可以通过在颜色空间中建立伤口颜色类型的数据库,并在出现新伤口时将其用于分类来评估伤口部位的颜色组成。已经显示总共存在八种类型的组织/色素沉着。结核病(TB)是一种严重的疾病,如果被忽视,可能导致死亡。肺结核是最具传染性的,通常是通过对痰涂片染色的高度放大图像进行目视检查而发现的。由于目视检查是乏​​味的并且可能导致错误,因此开发一种自动的结核病筛查方法将很有用。在伤口图像处理的情况下描述的颜色分割方法适用于ZN染色的痰涂片图像,以从背景中分割候选细菌结构。在基于颜色的分割之后,某些后处理技术可以对痰涂片染色的图像中的细菌数进行计数,从而提供感染程度。人腹筋膜联合 -- 坚持使用胶原蛋白和弹性纤维,并且知道这些纤维的相对含量可能对整形外科有用。已经显示出存在方便的颜色模型,该颜色模型可用于从适当染色的筋膜中分割出两种类型的纤维。

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