Real time FPGA implementation of a high speed and area optimized Harris corner detection algorithm

Sikka, Prateek; Asati, Abhijit; Shekhar, Chandra

doi:10.1016/j.micpro.2020.103514

Cited by 18 publications

(11 citation statements)

References 7 publications

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“…The basic idea of Harris corner detection is to move in all directions on the image through a sliding window and compare the gray changes in pixels before and after moving. If there is a large gray change, there must be corners in the window [ 29 ].…”

Section: Segmentation Of Overlapping Agaricus Bisporusmentioning

confidence: 99%

Research on an Improved Segmentation Recognition Algorithm of Overlapping Agaricus bisporus

Yang

et al. 2022

Sensors

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The accurate identification of overlapping Agaricus bisporus in a factory environment is one of the challenges faced by automated picking. In order to better segment the complex adhesion between Agaricus bisporus, this paper proposes a segmentation recognition algorithm for overlapping Agaricus bisporus. This algorithm calculates the global gradient threshold and divides the image according to the image edge gradient feature to obtain the binary image. Then, the binary image is filtered and morphologically processed, and the contour of the overlapping Agaricus bisporus area is obtained by edge detection in the Canny operator, the convex hull and concave area are extracted for polygon simplification, and the vertices are extracted using Harris corner detection to determine the segmentation point. After dividing the contour fragments by the dividing point, the branch definition algorithm is used to merge and group all the contours of the same Agaricus bisporus. Finally, the least squares ellipse fitting algorithm and the minimum distance circle fitting algorithm are used to reconstruct the outline of Agaricus bisporus, and the demand information of Agaricus bisporus picking is obtained. The experimental results show that this method can effectively overcome the influence of uneven illumination during image acquisition and be more adaptive to complex planting environments. The recognition rate of Agaricus bisporus in overlapping situations is more than 96%, and the average coordinate deviation rate of the algorithm is less than 1.59%.

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Section: Segmentation Of Overlapping Agaricus Bisporusmentioning

confidence: 99%

Research on an Improved Segmentation Recognition Algorithm of Overlapping Agaricus bisporus

Yang

et al. 2022

Sensors

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“…Highlevel synthesis (HLS) tools can create the detailed registertransfer level (RTL) microarchitecture from high-level languages such as C/C++. Many image processing algorithms have been mapped by using HLS tools, such as automatic target generation process (ATGP) algorithm [24], image processing like morphological and convolution operation [25], Harris corner detection algorithm [26], and multi-channel stripmap imaging algorithm [27]. In order to solve the problem that the HLS tool cannot support MATLAB language, Li et al [28] present a very high-level synthesis method which allows fast prototyping and verifying the FPGA-based image processing designs in the MATLAB environment.…”

Section: Background a Related Workmentioning

confidence: 99%

FPGA-Based Implementation of Ship Detection for Satellite On-Board Processing

Chen

Shi

et al. 2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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At present, the raw echo data captured by spaceborne SAR is usually downlinked to the ground stations for imaging and analysis. If the SAR data can be processed on-board, the processing results could be transmitted to users directly through broadcast distribution, which can greatly reduce the delay time for emergency applications. However, on-board processing implementation faces many challenges due to the space radiation environment and limited resources of the satellite. In this paper, an FPGA-based implementation of ship detection for on-board processing is proposed, which has high efficiency in logic and memory resources. First, the hardware-oriented clustering approach is proposed. Image processing operations with similar regularity of data access can be mapped in one processing engine, which can reduce the employment of logic resources. Second, the concept of the data-buffering cycle (DBC) is proposed. The DBC provides a method to analyze the intermediate data and optimize the memory reuse. Finally, based on the above optimization methods, the FPGA-based implementation for a ship detection algorithm is presented. Compared with the traditional methods, the experimental results show the efficacy of our proposed method with lower consumption in logic and memory resources.

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“…In the front end, the following method was used to obtain the camera pose transformation between two adjacent frames: Extract Harris feature points of the first frame [ 13 ]. LK multilayer optical flow was used to calculate the corresponding feature points in the second frame [ 14 ].…”

Section: Core Algorithm Design Of Binocular Vision and Interval Navig...mentioning

confidence: 99%

Research on Positioning Method in Underground Complex Environments Based on Fusion of Binocular Vision and IMU

Cheng

Wang

Zhai

et al. 2022

Sensors

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Aiming at the failure of traditional visual slam localization caused by dynamic target interference and weak texture in underground complexes, an effective robot localization scheme was designed in this paper. Firstly, the Harris algorithm with stronger corner detection ability was used, which further improved the ORB (oriented FAST and rotated BRIEF) algorithm of traditional visual slam. Secondly, the non-uniform rational B-splines algorithm was used to transform the discrete data of inertial measurement unit (IMU) into second-order steerable continuous data, and the visual sensor data were fused with IMU data. Finally, the experimental results under the KITTI dataset, EUROC dataset, and a simulated real scene proved that the method used in this paper has the characteristics of stronger robustness, better localization accuracy, small size of hardware equipment, and low power consumption.

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Real time FPGA implementation of a high speed and area optimized Harris corner detection algorithm

Cited by 18 publications

References 7 publications

Research on an Improved Segmentation Recognition Algorithm of Overlapping Agaricus bisporus

Research on an Improved Segmentation Recognition Algorithm of Overlapping Agaricus bisporus

FPGA-Based Implementation of Ship Detection for Satellite On-Board Processing

Research on Positioning Method in Underground Complex Environments Based on Fusion of Binocular Vision and IMU

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