Sub-pixel level image sampling and representing method based on retina theory
A sub-pixel-level, image sampling technology, used in instruments, character and pattern recognition, computer components, etc., can solve problems such as uneven density, lack of flexibility, and difficulty in computer digital image sampling.
Inactive Publication Date: 2010-08-11
FUDAN UNIV
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This obviously lacks a lot of flexibility, because the pixels are distributed according to the matrix, and the positions between the photoreceptors in the biological retina are not similar to the rectangular distribution, but have a hexagonal distribution similar to the hive, or even more flexible
It is difficult to find the corresponding position on the pixel point grid distributed in a fixed matrix to complete the sampling of computer digital pictures.
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[0048] 1. About sub-pixel level numerical calculation Retina multi-layer computing unit generation.
[0049] 1. Single cell-based generation algorithm.
[0050] Before running the computational unit generation algorithm, it is necessary to define the numerical retinal grid size n×n, and pre-define m observation window templates w1, w2, ..., wm according to m different cell densities.
[0051] Algorithm pseudocode description:
[0052] Input: Window[distance] / / Observation window template definition (depending on centrifugal distance)
[0053] Output: Grid n×n / / Output a grid that records the distribution of cells
[0054] FOREACH pi IN Grid n×n / / Loop through all grid positions
[0055] Get window wj=Window[distance(pi)]; / / Determine the observation window according to the current position
[0056] Prob(pi)←1.0; / / Initialize the probability that the current position pi has a cell
[0057] FOREACH Grid(k)IN wj / / traverse the positions in the range of all observat...
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The invention belongs to the technical field of pattern recognition and computer vision, particularly to a sub-pixel level image sampling and representing method based on a retina theory, a digital camera image sensor is directly corresponded with a retinal receptive cell layer by the method, a digital image which is captured by the digital camera is carried out sampling which is similar to a retina mechanism. The specific steps of the method is that each pixel in the image is treated as a color block, a whole digital image which is composed of all the color blocks is corresponding to a rectangle area in vision field, thereby being convenient to flexibly sample according to a mode of a retina photoreceptor. The sub-pixel level image sampling and representing method in the invention is helpful to realize distinctive treatment to different orientation stimulus in the vision field with a high-precision supersaturated sample which is used for recognition and a low-precision sparse sample which is used for keep alert, therefore, a processing module is optimized between the structure complexity, the computing load, the processing time and processing precision.
Description
technical field [0001] The invention belongs to the technical fields of pattern recognition, computer vision and image understanding, and in particular relates to a sub-pixel image sampling and representation method. Background technique [0002] In many algorithms and technologies of computer vision and digital image processing, pixels are always taken as the smallest unit of sampling. Not only that, the pixels are uniformly distributed in equal density in an array. However, the light signal acquisition method of the retina of higher mammals is quite different from this. In the process of studying computer vision, only by simulating the retina sampling method more realistically can we understand and analyze the efficient information processing method of the biological retina more deeply. This improves computational performance in some computer vision applications. Therefore, how to reasonably simulate such a sampling method has become one of the basic prerequisites for th...
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IPC IPC(8): G06K9/62
Inventor 危辉管旭东
Owner FUDAN UNIV