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Due to the characteristic of the blood flow in capillaries, the color distribution of the Micro-vascular image is uneven and its gray scale continuity is poor. At the same time, Micro-vascular image also has the characteristic that light color, low contrast with background and so on. Therefore we put forward a Micro-vascular image segmentation method based on the improved adaptive region growing....
The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because...
In order to provide fairly perfect environment information for automatic navigation and harvesting obstacle avoidance of apple harvesting robot, the trunk and branch of apple harvesting robot was studied. The most effective multiple segmentation method of trunk and branch was selected after the discussing and comparison, then the morphological closed operation and holes filling operation were executed,...
The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-d maximum entropy threshold image segmentation with Chaos PSO algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. Moreover, compared with previous research,...
The swarm intelligence is attracted by scholars in many fields by its special advantages, and its theories and applications have been developed greatly. As a representative method of swarm intelligence, ant colony optimization (ACO) is used widely because of its realization simply, positive feedback and distribution. The review of the new applications for ACO and its prospect are given in this paper.
For the robot vision system in apple harvesting robot, a new image segmentation method based on entropy clustering is proposed in HSI color space. Firstly, noise was wiped off by using weighted algorithm of median filtering in HSI color space instead of traditional algorithm in RGB model; secondly, Hue and Saturation components were extracted to do entropy clustering with their independence with Intensity,...
In apple harvesting robot stereo vision system, fruit recognition based on least squares support vector machine (LS-SVM) and calibration based on binocular vision are proposed, in order to gain the location information of apples including depth. Firstly, vector median filtering, opening and closing operations are employed, then feature vectors, H and S components in HIS color model and shape features,...
Iris recognition is of great significance in biometric technologies, due to the highest reliability and accuracy. As the first crucial step of iris recognition, iris segmentation is continuously and widely studied. A novel iris location method, based on rotation average analysis of intensity-inversed image, is presented here for iris segmentation: First, it locates the pupil by checking the consecutive...
A new secure fragile watermarking algorithm for secure communication is proposed in this paper, the idea of cryptography- and the idea of side information are introduced into the security domain of watermarking system. The main idea of the algorithm can be listed as follow. Firstly, the original image is segmented into blocks and the watermark is segmented into subsections. Secondly, the embedded...
In the robot vision system of the apple harvesting robot, the key is to recognize and locate the apple. To solve recognition questions such as high error rate, too much calculation and time consuming, a new recognizing method, support vector machine (SVM) is applied to improve recognition accuracy and efficiency. At first, vector median filter is used to remove the color images noise of apple fruit...
An object based fast search motion estimation algorithm is considered to be efficient since the computation of motion search can concentrate on blocks with moving object. However, the computational complexity of object segmentation is still too high to be applied on fast search motion estimation. In this paper, we propose an adaptive block classification algorithm. With this method, the fast search...
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