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In image processing, the balanced histogram thresholding method (BHT), [1] is a very simple method used for automatic image thresholding.Like Otsu's Method [2] and the Iterative Selection Thresholding Method, [3] this is a histogram based thresholding method.
An example of histogram matching. In image processing, histogram matching or histogram specification is the transformation of an image so that its histogram matches a specified histogram. [1] The well-known histogram equalization method is a special case in which the specified histogram is uniformly distributed. [2]
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Black spot (class Leotiomycetes: family Helotiales) Diplocarpon rosae syn. Marssonina rosae – Marssonina rosae causes black spots on leaves. [4] The spots, which may be as much as 12 mm across, are generally circular and have an irregular edge often with a yellow halo. Leaves frequently turn yellow and fall early.
This histogram shows the number of cases per unit interval as the height of each block, so that the area of each block is equal to the number of people in the survey who fall into its category. The area under the curve represents the total number of cases (124 million). This type of histogram shows absolute numbers, with Q in thousands.
The leaves are pinnate, 7–14 cm long, with three to seven leaflets. The leaflets are ovate, with serrate (toothed) margins. The flowers are pink (rarely white), 3.5–5 cm diameter; the hips are red, pear-shaped to ovoid, 10–15 mm diameter. Its native habitats include thickets, stream banks, rocky bluffs, and wooded hillsides. [5]
The leaves are pinnately compound, 5–9 cm long, with 5–9 rounded to oval leaflets with a serrated margin, and numerous glandular hairs. The flowers are 1.8–3 cm in diameter, the five petals being pink with a white base, and the numerous stamens yellow; the flowers are produced in clusters of 2–7 together, from late spring to mid-summer.