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A new multi-scale analytic algorithm for edge extraction of strawberry leaf images in natural light

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International Journal of Agricultural and Biological Engineering 2016年第1期9卷 99-108页

作者： Wang Jianlun Han Yu Zhao Shuangshuang Zheng Hongxu He Can Cui Xiaoying Xu Yun Chen Jianshu Wang Shuting College of Information and Electrical Engineering China Agricultural UniversityBeijing 100083China

In this study,a new algorithm was proposed for edge extraction of greenhouse strawberry leaf in natural light based on the 4-level daubechies 5(‘db5’)wavelet *** algorithm adopts different segmentation methods for the reconstructed images at different scales to erase the external background and the internal leaf vein *** were two advantages of this *** was that it can provide the abstraction from different spaces to express a same *** other one was that some image features are hard to be acquired in some scale spaces,while the features are easy to be obtained in other scale *** this image process methods,the Otsu threshold segmentation was to obtain the binary image areas,and the Canny segmentation is to obtain the accurate gradient edges,then the morphological methods and the logical calculus methods were to avoid the fragments inside the leaf area and the adhesions outside the leaf *** the strawberry leaf images were different respectively,and the greenhouse optical radiation and reflection may cause local non-uniform illumination of leaf image,the pseudo canny edges of leaf image ere divided into three categories in this *** first category was the external pseudo canny edges area of the first layer reconstructed leaf image,the second category was the internal pseudo canny edges area in highlight of the third layer reconstructed leaf image,the third category was the internal pseudo canny edges area of significantly different grayscale of the third layer reconstructed leaf *** different processing methods were constructed for the three kinds of different texture features based on the multi scale reconstructed images,then the complete and the accurate leaf edges without interference were ***,the multi scale method was simplified and a remarkably effective segmentation algorithm was deduced for the greenhouse strawberry leaf in natural light.

关键词： multi scale analysis edge extraction strawberry leaf images canny edges Otsu segmentation

A New Approach to edge extraction by Image Decomposition and Restoration

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A New Approach to Edge Extraction by Image Decomposition and...

Image Tracking Method Based on Fractal-geometry edge extraction

2000年第16届世界计算机大会

作者： Jun Miao Wen Gao Chunling Ma Yiqiang Chen Xiaoyan Sun Digital Media Lab Institute of Computing TechnologyChinese Academy of Sciences Department of Computer Science Beijing Polytechnic University

＜正＞This paper suggests a new approach to edge extraction in terms of image decomposition and restoration,which adopts some specific edge extraction operator as seed operator to extract edge in a group of sub-images produced by sub-sampling original image and restoring the extracted edge-pixels to their corresponding positions in original *** is a fast method to extract edge features at any specified scale,whose time complexity,excluding additional spot removal procedure, is equal to that of the seed edge operator conducted in the original image.

关键词： multiscale feature edge extraction image decomposition-restoration

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Image Tracking Method Based on Fractal-geometry Edge Extract...

edge detection based multi-material interface extraction on industrial CT volumes

第三届国际仪器科学技术学术研讨会

作者： LUO Shi-tu ZHANG Qi WANG Yan-ling LUO Fei-lu SUN Hong-liang Department of Mechatronics and Instrumentation National University of Defense Technology Changsha 410073 China

In order to satisfy the double demand of real-time need and tracking reliability of image tracking system used in modern armament, aiming at the feature of target tracked by armament, this article app

关键词： fractal geometry fractal dimension edge extraction target tracking template

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Science China(Information Sciences) 2013年第9期56卷 74-82页

作者： OHTAKE Yutaka SUZUKI Hiromasa Research Center for Advanced Science and Technology The University of Tokyo

X-ray CT scanning is recently becoming a popular technology for industrial applications as well as medical ones. Since the geometrical accuracy is often important for industrial applications, more precise methods for processing CT volumes are required. This paper proposes a method for extracting the multimaterial interfaces on CT volumes obtained by industrial CT scanners. Instead of extracting isosurfaces we detect edge-points, at which the norm of the volume gradient takes a local maximum in the gradient direction, and then interpolate the points as the material interfaces represented by the zero-level of compounded implicit functions. In order to achieve a robust material-identification, multilabel graph-cut is utilized in our method. Using edge-points, we can reduce the inaccuracy caused by CT scanning artifacts.

关键词： CT volume multi-material interface segmentation edge extraction

Underwater Sea Cucumber Target Detection Based on edge-Enhanced Scaling YOLOv4

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Journal of Beijing Institute of Technology 2023年第3期32卷 328-340页

作者： Ziting Zhang Hang Zhang Yue Wang Tonghai Liu Yuxiang He Yunchen Tian College of Computer and Information Engineering Tianjin Agricultural UniversityTianjin 300380China

Sea cucumber detection is widely recognized as the key to automatic *** underwater light environment is complex and easily obscured by mud,sand,reefs,and other underwater *** date,research on sea cucumber detection has mostly concentrated on the distinction between prospective objects and the ***,the key to proper distinction is the effective extraction of sea cucumber feature *** this study,the edge-enhanced scaling You Only Look Once-v4(YOLOv4)(ESYv4)was proposed for sea cucumber *** emphasizing the target features in a way that reduced the impact of different hues and brightness values underwater on the misjudgment of sea cucumbers,a bidirectional cascade network(BDCN)was used to extract the overall edge greyscale image in the image and add up the original RGB image as the detected ***,the YOLOv4 model for backbone detection is scaled,and the number of parameters is reduced to 48%of the original number of *** results of 783images indicated that the detection precision of positive sea cucumber samples reached *** improvement reflects that the algorithm is more effective to improve the edge feature information of the *** thus contributes to the automatic multi-objective detection of underwater sea cucumbers.

关键词： sea cucumber edge extraction feature enhancement edge-enhanced scaling You Only Look Once-v4(YOLOv4)(ESYv4) model scaling

edge-preserving image decomposition via joint weighted least squares

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Computational Visual Media 2015年第1期1卷 37-47页

作者： Pan Shao Shouhong Ding Lizhuang Ma Yunsheng Wu Yongjian Wu Department of Computer Science and Engineering Shanghai Jiao Tong University Tencent Inc.

Recent years have witnessed the emergence of image decomposition techniques which effectively separate an image into a piecewise smooth base layer and several residual detail layers. However, the intricacy of detail patterns in some cases may result in side-effects including remnant textures, wronglysmoothed edges, and distorted appearance. We introduce a new way to construct an edge-preserving image decomposition with properties of detail smoothing, edge retention, and shape fitting. Our method has three main steps: suppressing highcontrast details via a windowed variation similarity measure, detecting salient edges to produce an edgeguided image, and fitting the original shape using a weighted least squares framework. Experimental results indicate that the proposed approach can appropriately smooth non-edge regions even when textures and structures are similar in scale. The effectiveness of our approach is demonstrated in the contexts of detail manipulation, HDR tone mapping,and image abstraction.

关键词： detail suppression edge extraction edge-preserving decomposition shape recovery

A compact PE memory for vision chips

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Journal of Semiconductors 2014年第9期35卷 104-110页

作者：石匆陈哲杨杰吴南健王志华 State Key Laboratory of Superlattices and Microstructures Institute of Semiconductors Chinese Academy of Sciences Department of Electronic Engineering Tsinghua University Institute of Microelectronics Tsinghua University

This paper presents a novel compact memory in the processing element （PE） for single-instruction multiple-data （SIMD） vision chips. The PE memory is constructed with 8×8 register cells, where one latch in the slave stage is shared by eight latches in the master stage. The memory supports simultaneous read and write on the same address in one clock cycle. Its compact area of 14.33 μm^2/bit promises a higher integration level of the processor. A prototype chip with a 64×64 PE array is fabricated in a UMC 0.18 μm CMOS technology. Five types of the PE memory cell structure are designed and compared. The testing results demonstrate that the proposed PE memory architecture well satisfies the requirement of the vision chip in high-speed real-time vision applications, such as 1000 fps edge extraction.

关键词： vision chip PE memory architecture SIMD edge extraction

On-orbit real-time robust cooperative target identification in complex background

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Chinese Journal of Aeronautics 2015年第5期28卷 1451-1463页

作者： Wen Zhuoman Wang Yanjie Arjan Kuijper Di Nan Luo Jun Zhang Lei Jin Minghe Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences University of the Chinese Academy of Sciences Fraunhofer Institute for Computer Graphics Research Technische Universitt Darmstadt State Key Laboratory of Robotics and System Harbin Institute of Technology

Cooperative target identification is the prerequisite for the relative position and orientation measurement between the space robot arm and the to-be-arrested object. We propose an on- orbit real-time robust algorithm for cooperative target identification in complex background using the features of circle and lines. It first extracts only the interested edges in the target image using an adaptive threshold and refines them to about single-pixel-width with improved non-maximum suppression. Adapting a novel tracking approach, edge segments changing smoothly in tangential directions are obtained. With a small amount of calculation, large numbers of invalid edges are removed. From the few remained edges, valid circular arcs are extracted and reassembled to obtain circles according to a reliable criterion. Finally, the target is identified if there are certain numbers of straight lines whose relative positions with the circle match the known target pattern. Experiments demonstrate that the proposed algorithm accurately identifies the cooperative target within the range of 0.3 1.5 m under complex background at the speed of 8 frames per second, regardless of lighting condition and target attitude. The proposed algorithm is very suitable for real-time visual measurement of space robot arm because of its robustness and small memory requirement.

关键词： Circle detection edge extraction edge tracking Line detection Robot vision Space robot arm

Image compression based on spatial redundancy removal and image inpainting

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第2期11卷 92-100页

作者： Vahid BASTANI Mohammad Sadegh HELFROUSH Keyvan KASIRI Department of Electrical and Electronic Engineering Shiraz University of Technology

We present an algorithm for image compression based on an image inpainting method. First the image regions that can be accurately recovered are located. Then, to reduce the data, information of such regions is removed. The remaining data besides essential details for recovering tile removed regions are encoded to produce output data. At the decoder, an inpainting method is applied to retrieve removed regions using information extracted at the encoder. The image inpainting technique utilizes partial differential equations （PDEs） for recovering information. It is designed to achieve high performance in terms of image compres- sion criteria. This algorithm was examined for various images. A high compression ratio of 1：40 was achieved at an acceptable quality. Experimental results showed attainable visible quality improvement at a high compression ratio compared with JPEG.

关键词： edge extraction Image compression Image inpainting Spatial redundancy