VC++ Programming Implementation of Profile Processing for BMP Image File Extraction

Zheng Dong,Junfeng Li,Liangyu Li

doi:10.5539/mas.v3n5p217

Abstract

To analyze the image shape, it is necessary to express the profile character of image by special method under certain situation, and the aim of image profile extraction is to obtain the exterior profile character of image. Taking the BMP image file as the example, in this article, we used VC++ to implement the read, image strengthening, threshold division and profile extraction of 256bits color graph, and obtained the bitmap file which could fulfill the image analysis finally.

Highlights

The image profile extraction is an important image processing technology, and it is the key approach to better implement image analysis and the based to fully grasp image information
The so-called profile means the set of the pixel points which pixel values change obvious surrounding the image, and it is the basic character depending by image analysis
The image read is the first approach for the image processing, and in this approach, the height and width of the image should be read, and whether the image needs to be printed should be judged and the memory space should be distributed for reading image data

Summary

BMP image file

BMP (Bit Map Picture) format is a sort of standard format to exchange image and image data in Windows. The data of BMP image include bit map file header, bit map information header, palette and image data. The true color palette doesn’t need palette, and the bit map information header directly follows image data. We adopt the idea of smoothing template to eliminate the noise, and it mainly eliminates certain noise in the image through the average operation of one points with several neighboring points, and whether the template we select, we treat the present pixel and neighboring pixel points without discrimination and implement average processing uniformly, so we can effectively eliminate the noise in the image, and the main advantages of the method include simple algorithm and quick computation speed, and its disadvantage is that it will induce certain blurs in the.

Binary processing and threshold division

Image profile extraction

Analysis of experiment results