Contrast Transfer Function, Points, and Pixels
نویسنده
چکیده
Microscopical images are now almost always recorded digitally. To accomplish this, the flux of photons that forms the final image must be divided into small geometrical subunits called pixels. The light intensity in each pixel will be stored as a single number. Changing the objective magnification, the zoom magnification on your confocal control panel, or choosing another coupling tube magnification for your charge-coupled device (CCD) camera changes the size of the area on the object that is represented by one pixel. If you can arrange matters so that the smallest feature recorded in your image data is at least 4 to 5 pixels wide in each direction, then all is well. This process is diagrammed for a laser-scanning confocal in Figure 4.1, where the diameter of the scanning beam is shown to be at least four times the interline spacing of the scanning raster. This means that any individual fluorescent molecule should be excited by at least four overlapping, adjacent scan lines and that, along each scan line, it will contribute signal to at least four sequential pixels. Finally, it is important to remember that information stored following these rules will only properly resemble the original light pattern if it is first spatially filtered to remove noise signals that are beyond the spatial bandwidth of the imaging system. Image deconvolution is the most accurate way of imposing this reconstruction condition and this applies equally to data that have been collected by widefield or scanning techniques. If you do this right, your image should look like that in Figure 4.2. If you are already convinced of this, jump to page 71 for the second half of this chapter, on gray levels. But if it all seems to be irrelevant mumbo-jumbo, read on. Incorrect digitization can destroy data.
منابع مشابه
Design and Fabrication Process of MTF Phantom CT Scan
Introduction: One of the main steps in the optimization process in diagnostic imaging is the quality control of radiology devices. The usual method of CT scan calibration is used of a phantom. The phantom created a certain weakening for the radiation through which it passes. One of the most suitable methods for quantitative analysis of the resolution and contrast in CT scan im...
متن کاملNonlinear Enhancement of Extremely High Contrast Images for Visibility Improvement
This paper presents a novel image enhancement algorithm using a multilevel windowed inverse sigmoid (MWIS) function for rendering images captured under extremely non uniform lighting conditions. MWIS based image enhancement is a combination of three processes viz. adaptive intensity enhancement, contrast enhancement and color restoration. Adaptive intensity enhancement uses the non linear trans...
متن کاملImproving Brain Magnetic Resonance Image (MRI) Segmentation via a Novel Algorithm based on Genetic and Regional Growth
Background:Â Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective:Â This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...
متن کاملرفع اعوجاج هندسی متون بهکمک اطلاعات هندسی خطوط متن
Document images produced by scanners or digital cameras usually have photometric and geometric distortions. If either of these effects distorts document, recognition of words from such a document image using OCR is subject to errors. In this paper we propose a novel approach to significantly remove geometric distortion from document images. In this method first we extract document lines from do...
متن کاملمدلسازی صفحهای محیطهای داخلی با استفاده از تصاویر RGB-D
In robotic applications and especially 3D map generation of indoor environments, analyzing RGB-D images have become a key problem. The mapping problem is one of the most important problems in creating autonomous mobile robots. Autonomous mobile robots are used in mine excavation, rescue missions in collapsed buildings and even planets’ exploration. Furthermore, indoor mapping is beneficial in f...
متن کاملUnsupervised transfer learning for target detection from hyperspectral images
Target detection has been of great interest in hyperspectral image analysis. Feature extraction from target samples and counterpart backgrounds consist the key to the problem. Traditional target detection methods depend on comparatively fixed feature for all the pixels under observation. For example, RX employs the same distance measurement for all the pixels. However, the best separation resul...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007