Multispectral Imaging
Multispectral imaging involves capturing images at specific discrete wavelengths across the electromagnetic spectrum, typically using a limited number of spectral bands. Each band corresponds to a specific range of wavelengths, allowing for the differentiation of various materials and features based on their spectral signatures.
What is Spectral imaging in Image processing?
Spectral imaging is method that captures and analyzes images across a range of wavelengths in the electromagnetic spectrum. In this article, we’ll uncover the underlying principles of spectral imaging and examine its broad-ranging applications across different sectors.
Table of Content
- Principles of Spectral Imaging
- Types of Spectral Imaging in Image Processing
- Multispectral Imaging
- Hyperspectral Imaging
- Applications of Spatial Imaging
While conventional imaging focuses solely on the light intensity at one wavelength, spectral imaging gathers spectral information for every pixel in the image. This capability allows for the retrieval of crucial details about the composition, structure, and characteristics of the subjects in the images.