Research On Image Processing Technology For Larvae Detection

In recent years, the invasion of alien organisms causes a shocking loss. Reliable technical support for on-line quarantine decision-making is urgently needed. Under the support of Major Science and Technology Projects in Zhejiang Province-The Development of Portable Larvae Image Acquisition and Analysis Instrument for Plant Quarantine, image processing techniques for larvae detection are studied based on the interference of image sensor technology, machine vision technology, as well as insect taxonomy. Complete the larvae microscopic image processing software development, which has the function of larvae image acquisition, storage, pre-processing, segmentation, feature extraction. The main contents are as follows:1) Larvae image acquisition. Capture larvae images with multi-pose and multi-angle with larvae image acquisition device to build the larvae image library.2) Larvae image basic preprocessing. Realize the function of image grayness, normalization etc. Use median filtering and Symlets wavelet for color image de-noising.3) Larvae image segmentation. Iterative best threshold, Otsu and region growing method are used to larvae gray image segmentation. The segmentation of color image with natural background is achieved by K-means clustering, which effectively eliminate the interference of background information. This method provides the segmentation image that is easier to extract the characteristics for the larvae recognition.4) Larvae image feature extraction. Scale Invariant Feature Transform(SIFT) algorithm is applied to extract larvae image features, which is invariant to image scale and rotation, and are found to be robust across a substantial range of affine distortion, addition of noise, and change in illumination. H-S color histogram and color moment are integrated to describe color features. Larvae textural features extraction based on GLCM is realized by compute the energy, contrast, entropy, relativity.5) Larvae detection system design and software implement. Complete the overall design of larvae detection system, put forward the implement measures of image processing for larvae detection, realize functions of the image processing software and design of user Interface.