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For photo interpretation, it is preferred that the image is taken so that the shadows can be clearly observed [2] as shadows can highlight the relief of the topography. [2] This orientation of the image also helps geologists link the 3D pictures to what they observe. [2] Figure 10: This diagram shows the position of the Sun (south).
Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. [1] Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face .
According to Roland Barthes the coded iconic message is the story that the image portrays. This message is easily understood and the images represent a clear relationship. [1] The "reader" of the image applies their knowledge to the encoding of the photo. An image of a bowl of fruit for example might imply still life, freshness or market stalls ...
In image processing, computer vision and related fields, an image moment is a certain particular weighted average of the image pixels' intensities, or a function of such moments, usually chosen to have some attractive property or interpretation. Image moments are useful to describe objects after segmentation.
Photoanalysis (or photo analysis) refers to the study of pictures to compile various types of data, for example, to measure the size distribution of virtually anything that can be captured by photo. Photoanalysis technology has changed the way mines and mills quantify fragmented material.
Parallelism is another way to disambiguate the figure of an image. The orientation of the contours of different textures in an image can determine which objects are grouped together. Generally, parallel contours suggest membership to the same object or group of objects. Similarly, symmetry of the contours can also define the figure of an image. [6]
Image quality can be assessed using objective or subjective methods. In the objective method, image quality assessments are performed by different algorithms that analyze the distortions and degradations introduced in an image. Subjective image quality assessments are a method based on the way in which humans experience or perceive image quality.
The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image (see edge detection). Each of the pixels in a region are similar with respect to some characteristic or computed property, [ 3 ] such as color , intensity , or texture .