The basic concepts of image analysis

Technology to extract information from an image

The main contents

1. Locate the object of interest from the image. Generally, within a scene from the target composition reflects the many areas in the image. In order to separate the area, we want to study image segmentation

2. Since each target different regions or certain features distinguished from other regions apart, edge, texture, shape, color is an important feature. Research on image segmentation and image feature extraction methods can not be separated.

3. The need to use can effectively represent extracted for each target, which requires research shape analysis, representation and description method

4. Analyzing the decision whether there is certain characteristics can be considered a process of identifying, for each target category determination process is also a recognized. High-level analysis of the understanding of the need to use a lot of recognition, pattern recognition is a special course

Characterized in image segmentation

1- task of image segmentation to separate the image into non-overlapping region of interest in order to facilitate further analysis. It is generally the first step in image analysis

2- separate regions generally with respect to the target image, we are interested in

3 important aspects of image processing foundation, are generally more difficult to link

4- other segmentation often rely on the analysis result, accurate segmentation decisions even affect the accuracy of the other part of the analysis

5- segmentation problem is difficult fuzzy interference and noise of the image data

6- So far, there is not a judge is completely correct segmentation criteria, nor is there a standard way to solve all the problems of division. Only some specific issues or required to meet certain conditions of the method

7- segmentation must be judged good or bad from the segmentation results. The actual scene in different situations, analyze specific issues, select the appropriate method according to the actual situation

8- basic characteristic is the gray value image, a color image is its color components. Edge and texture features are also very common feature

Image segmentation

concept:

The image is decomposed into its constituent parts and process objects

The position and scope of the object of interest is selectively positioned in the image

The basic idea

From simple to difficult, step by step segmentation

Control context, reducing the difficulty of splitting

Enhanced focus on the object of interest, the interference reduced the irrelevant image components

Boundary splitting method

The detection point

If the value of R is equal to 0, indicating that the current detection points around the same point in the gray value

When R is large enough, and the description of the points around the point values very different, it is an isolated point. The controlled T = 32, 64, 128, etc. through the threshold T
| R & lt |> T a detected outlier would

Detection line