Pixel point position determination method and device

Abstract

The invention provides a pixel point position determination method and device, particularly relates to the field of image processing, and is used for accurately determining the belonging area of each pixel point in a multilayer frame shaped like a Chinese character hui in the digital image processing process. The multilayer frame shaped like the Chinese character hui comprises N different sizes of frames which are arranged from outside to inside in turn in a nested way. The N frames form N different areas. The N different areas include an area formed by the innermost frame and areas formed by the space of every two adjacent frames in the N frames. The address code of each frame in the multilayer frame shaped like the Chinese character hui is acquired. The position code of each pixel point is determined according to the coordinates of each pixel point in the image to be processed and the coordinate range of each frame. The flag bit of each pixel point is determined according to the position code of each pixel point. The pixel points of which the flag bits indicate the same area are classified into the same group. Each group is corresponding to one area. The pixel point position determination method and device are applied to an image processing system.

Description

technical field [0001] Embodiments of the present invention belong to the field of image processing, and in particular relate to a method and device for determining pixel positions. Background technique [0002] In the process of digital image processing, it is necessary to perform different processing on the images inside and outside the rectangular frame, for example, perform grayscale statistics, and count the grayscale values ​​in different regions. When there is a multi-layer overlapping frame, it is necessary to distinguish each layer of rectangular frames, so as to perform different processing on the pixels in each layer of rectangular frames; [0003] It is easier to handle when the number of overlapping layers of rectangular frames is small, but in the case of a large number of overlapping layers of rectangular frames, for example, dozens of overlapping rectangular frames, it is necessary to distinguish which layer the current pixel in the image belongs to Rectangu...

AI Technical Summary

Problems solved by technology

[0003] It is easier to handle when the number of overlapping layers of rectangular frames is small, but in the case of a large number of overlapping layers of rectangular frames, for example, dozens of overlapping rectangular frames, it is necessary to distinguish which layer the current pixel in the image belongs to Rectangular frame is a very troublesome thing

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