Let us suppose an image containing a quite small square under a large dark square with both having very close gray level values. If an image contains some of this such that the small squares can’t be visualized and some noise blurred enough to reduce its noise content as shown in fig. below, Which of the following method would be preferred for obtaining the small square clear enough? Figure: original image.

Let us suppose an image containing a quite small square under a large dark square with both having very close gray level values. If an image contains some of this such that the small squares can’t be visualized and some noise blurred enough to reduce its noise content as shown in fig. below, Which of the following method would be preferred for obtaining the small square clear enough? Figure: original image. Correct Answer Local histogram equalization

For global histogram enhancement, the small squares have a very close gray value with larger square and have a very small size to be influenced by global histogram equalization method. But, local histogram enhancement using a 7*7 neighborhood reveals the small square. (a) Original image. (b) Result using global histogram equalization. (c) Result using local histogram equalization using 7*7 neighborhood about each pixel.
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Construction of Squares and Triangles mcq question image
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Construction of Squares and Triangles mcq question image
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Construction of Squares and Triangles mcq question image
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