An adaptive cost aggregation method based on bilateral filter and canny edge detector with segmented area for stereo matching

2019 ◽  
Author(s):  
Wei-Jong Yang ◽  
Zi-Shiung Tsai ◽  
Pau-Choo Chung ◽  
Yao-Teng Cheng
Keyword(s):  
Stereo Matching ◽  
Bilateral Filter ◽  
Edge Detector ◽  
Aggregation Method ◽  
Canny Edge Detector ◽  
Cost Aggregation ◽  
Canny Edge

scholarly journals Skin Lesion Border Detection Based on Best Statistical Model Using Optimal Colour Channel

2020 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Alaa Ahmed Abbas Al-abayechi ◽  
Fadeheela Sabri Abu-Almash
Keyword(s):  
Skin Lesion ◽  
Median Filter ◽  
Bilateral Filter ◽  
Polynomial Model ◽  
Morphological Operations ◽  
Edge Detector ◽  
Border Detection ◽  
Canny Edge Detector ◽  
Edge Detectors ◽  
Canny Edge

This paper proposes an effective way to segment melanoma skin lesion in colour dermoscopic images, using an edge-based approach. The proposed method, different methods were combined to improve the segmentation performance. These methods are morphological operations, bilateral filter, spline, polynomial model and canny edge detector. Different methods were tested to select the best method that was produced the best outcome. These testing methods, bilateral filter provided the highest PSNR amongst other filters such as median filter, Gaussian and average filter. Two statistical models were implemented polynomial model and linear regression and selected the best performance as polynomial model. Four edge detectors were applied to detect the edge of skin lesion and select the best segmentation accuracy.  Manual border selection was used as the benchmark to evaluation the accuracy of the automatic border. The proposed method was able to achieve a good average accuracy of 96.69% based on canny edge detector. Our dataset consists of (70) dermoscopic images that includes melanoma and nevus.

Short Hand Recognition using Canny Edge Detector

2017 ◽  
Vol 7 (5) ◽  
pp. 902-907
Author(s):  
Pramod Kumar S ◽  
◽  
Narendra T.V ◽  
Vinay N.A ◽  
◽  
...  
Keyword(s):  
Edge Detector ◽  
Canny Edge Detector ◽  
Canny Edge ◽  
Short Hand ◽  
Hand Recognition

A Distributed Canny Edge Detector: Algorithm and FPGA Implementation

2014 ◽  
Vol 23 (7) ◽  
pp. 2944-2960 ◽  
Author(s):  
Qian Xu ◽  
Srenivas Varadarajan ◽  
Chaitali Chakrabarti ◽  
Lina J. Karam
Keyword(s):  
Fpga Implementation ◽  
Edge Detector ◽  
Canny Edge Detector ◽  
Canny Edge

Fine structure measurement in the SEM cross section of LSI using the Canny edge detector

2003 ◽  
Author(s):  
Yoshihiro Midoh ◽  
Katsuyoshi Miura ◽  
Koji Nakamae ◽  
Hiromu Fujioka
Keyword(s):  
Fine Structure ◽  
Cross Section ◽  
Edge Detector ◽  
Canny Edge Detector ◽  
Canny Edge ◽  
Structure Measurement

scholarly journals SURVEY ON DISTRIBUTED CANNY EDGE DETECTOR WITH FPGA

2015 ◽  
Vol 3 (3) ◽  
pp. 51-61
Author(s):  
Poonam S. Deokar ◽  
Anagha P. Khedkar
Keyword(s):  
Edge Detection ◽  
Real Time ◽  
Large Scale ◽  
Attractive Alternative ◽  
Edge Detector ◽  
Canny Edge Detection ◽  
Canny Edge Detector ◽  
Canny Edge ◽  
Canny Algorithm ◽  
Real Time Applications

The Edge can be defined as discontinuities in image intensity from one pixel to another. Modem image processing applications demonstrate an increasing demand for computational power and memories space. Typically, edge detection algorithms are implemented using software. With advances in Very Large Scale Integration (VLSI) technology, their hardware implementation has become an attractive alternative, especially for real-time applications. The Canny algorithm computes the higher and lower thresholds for edge detection based on the entire image statistics, which prevents the processing of blocks independent of each other. Direct implementation of the canny algorithm has high latency and cannot be employed in real-time applications. To overcome these, an adaptive threshold selection algorithm may be used, which computes the high and low threshold for each block based on the type of block and the local distribution of pixel gradients in the block. Distributed Canny Edge Detection using FPGA reduces the latency significantly; also this allows the canny edge detector to be pipelined very easily. The canny edge detection technique is discussed in this paper.

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