Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract#R##N##R##N#A high-speed recursive algorithm has been proposed for determining multiple thresholds for a gray level of an image based on edge and contour evaluation using a two-dimensional histogram of the maximum and minimum values in a 2 × 2 window and providing that the edge map of the image is given [5]. Although it is possible in principle to determine both the edge and gray level thresholds simultaneously by expanding the previous method, this requires excessive computation (proportional to the cube of the gray levels).#R##N##R##N##R##N##R##N# proposes a method of simultaneously determining the thresholds for both the edge and gray level so that the coincidence beten the edge and the contour is optimized. In this method, the edge intensity is defined as the difference beten the maximum and minimum values in a window; conditions that each pixel in an image is a part of a contour and/or an edge are discussed; and a set of optimum thresholds is determined with a relatively small amount of computation (proportional to the square of the gray levels) by using only a 2-D histogram of two gray levels of the images after the maximum and the minimum filter.
['Toshiyuki Gotoh', 'Takashi Toriu']
I am writing a research paper on a idea A recursive algorithm for edge intensity and gray -level thresholds selection based on edge and contour evaluation
[{"from": "human", "value": "I am writing a research paper on a idea A recursive algorithm for edge intensity and gray -level thresholds selection based on edge and contour evaluation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract#R##N##R##N#A high-speed recursive algorithm has been proposed for determining multiple thresholds for a gray level of an image based on edge and contour evaluation using a two-dimensional histogram of the maximum and minimum values in a 2 \u00d7 2 window and providing that the edge map of the image is given [5]. Although it is possible in principle to determine both the edge and gray level thresholds simultaneously by expanding the previous method, this requires excessive computation (proportional to the cube of the gray levels).#R##N##R##N##R##N##R##N# proposes a method of simultaneously determining the thresholds for both the edge and gray level so that the coincidence beten the edge and the contour is optimized. In this method, the edge intensity is defined as the difference beten the maximum and minimum values in a window; conditions that each pixel in an image is a part of a contour and/or an edge are discussed; and a set of optimum thresholds is determined with a relatively small amount of computation (proportional to the square of the gray levels) by using only a 2-D histogram of two gray levels of the images after the maximum and the minimum filter."}]