Color image--image cutting color space cutting

Know the last day of dip
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The opening crap.

The last article in this series. Perhaps the article will be written in the other series. I want to put the wavelet also in this series, but feel recently write wavelet a little difficult, here learning environment is not good, want to write some fun, for example pattern recognition. Image features dot What, I hope you continue to pay attention.

Algorithm principle

Simple cutting of multi-channel images. Can be given a threshold vector, and then given a range, can be three-dimensional spherical, or cube, this depends on the detailed design, for example, to give a simple example, given the RGB center threshold value is t ?  ( R 0 , G 0 , B 0 ) , the threshold value is 100. So for pixel points ( x , y ) Span style= "Display:inline-block; width:0px; Height:2.56em; " > Color vector at the i ?  ( r x y , g x y , b x y )
So just to meet

|t ?  i ?  |< -

Points to meet the requirements for the target point. Otherwise, the background point.

The same algorithm applies to other color spaces. However, it is very flexible to design according to the detailed situation.

Code

Double chanel3distance (RGB Point1,rgb point2) {return sqrt (point1. C1-point2. C1) * (point1. C1-point2. C1) + (point1. C2-point2. C2) * (point1. C2-point2. C2) + (point1. C3-point2. C3) * (point1. C3-point2. C3));}void Segmentrgb (rgb* src,rgb *dst,int width,int Height,rgb * color_center,double threshold) {double distance=0.0;for (int i=0; i<width*height;i++) {Distance=chanel3distance (Src[i], *color_center);if (distance<=threshold) {Dst[i]. C1=src[i]. C1;Dst[i]. C2=src[i]. C2;Dst[i]. C3=src[i]. C3;}else{Dst[i]. C1=0.;Dst[i]. C2=0.;Dst[i]. C3=0.;}    }}

Results analysis

The following simple cuts and smoothing are then combined.

Original:

Cut (use simple RGB model, skin color cut point simple selection, so the effect is not very good):

Merge after smoothing

Original:

Cutting results:

Summarize

It took 70 days to simply introduce the basic knowledge of image processing. Specific applications because they do not have the industry versatility. Therefore will have the choice to carry on the study, thanks oneself all the way persisted for a few months, thanks everybody has been supporting, hoped everybody's technical progress.
The end of this series.

Technology. Cond.

。。

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Color image--image cutting color space cutting