A system for real-time statistical histogram

Abstract

The invention provides a real-time histogram statistic system which comprises a capacitive collection array, a histogram statistic module, an RAM (random access memory) address generation module, a threshold value point generation module, an RAM selection module and an RAM, wherein the histogram statistic module is used for conducting histogram statistic according to a 0 or 1 two-value sequence generated by the capacitive collection array to obtain a histogram accumulation result of a frame image, and the threshold value point generation module is used for obtaining a lower limit threshold point L, a middle limit threshold point M, an upper limit threshold point H, an upper limit value C1 in a first statistical interval and an upper limit C2 in a second statistical interval within a preset rule according to the histogram accumulation result. The histogram statistic is conducted within 1-5 clock periods after the image sequence is collected, the operation is simple, the consumed resource is less, the speed is high, and compared with the conventional histogram statistics, the real-time histogram statistic system provided by the invention is more adaptable to the market requirements.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a system for real-time statistical histogram Background technique [0002] The existing capacitive image acquisition array applications include: capacitive scratch sensor, capacitive area sensor, etc. The acquisition principle of this type of sensor is to convert the capacitance change of the capacitive acquisition array caused by the acquisition object into an easy-to-handle 0 or 1 binary sequence. [0003] Implementation steps of the existing histogram statistical method: [0004] (1) First convert the 0 or 1 binary sequence collected by the capacitive sensor into an image gray value; [0005] (2) Real-time scanning image data for histogram statistics. [0006] At present, this implementation method is complex in calculation, consumes a lot of resources, and the calculation speed is slow, which cannot achieve the effect of real-time statistics. The current histogra...

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Problems solved by technology

[0006] At present, the implementation method is complex in calculation, consumes a lot of resources, and the calculation speed is slow, which cannot achieve the effect of real-time statistics

The current histogram statistics are mainly based on DSP, and DSP is used to realize histogram statistics. Because DSPs are mostly based on serial instruction sets, the processing speed is slow, and DSPs based on parallel instruction sets are expensive, and the degree of parallel processing cannot reach that based on certain Optimization for a specific functional requirement

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