The study and application for insect image segmentation

Generally, a digital image may consist of several different objects, and the research interest for an insect image is the insect region in the image.

Insect image processing and analysis technology and methods including image acquisition, image enhancement , image segmentation and feature extraction and measurement were introduced.

Snake model in carcinoma cell image division application;

One important step for detecting quantified information from image of full hole microresistivity scan imaging log (FMI) is division of FMI image so that sub image mainly reflecting fracture and pore can be detected from raw FMI image, whether the effectiveness of image division directly related to accuracy of calculating FMI parameters.

The particular contents and familiar image division methods were summarized,and the research contents and methods of computer vision technique were also introduced.

Feature extraction based on image segmentation of coal flotation froth;

Fabric image segmentation algorithm based on Mean Shift;

Improved OTSU method on welding seam image segmentation;

A Novel Validation Method Based on Radial Distance Error for 3D Medical Image Segmentation;

Fuzzy Markov random filed model and a new algorithm for image segmentation;

Introduction of a segmentation method for images of thin-layer structures;

Image Segment Based on the Self-adaptive Threshold EM and GMM Algorithm

In this paper,we discuss image fusion methods within the space domain,transform domain and intelligence domain, where the emphasis is given to the fusion method based on image segment,wavelet transform,its extension,and semantic predication.

Since many natural objects are similar to ellipse,so ellipse detection becomes one of the key techniques in image segment and object extraction.