The Study of Preprocessing and Postprocessing Techniques of Image Stitching

Vaidya, Omkar S.; Gandhe, S. T.

doi:10.1109/icacct.2018.8529642

Cited by 10 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) Geometric transformation: A mapping relationship between original image pixels and transformed image pixels was established, through which the pixel coordinates of one image can be calculated from those of another. 27 The expression is shown in formula (2). The process of mapping image coordinates to output is typically referred to as forward mapping, while the reverse is known as backward mapping.…”

Section: Establishment Of Dataset For Retired Power Battery Shell Boltsmentioning

confidence: 99%

An intelligent detection approach for end-of-life power battery shell bolts

Li,

Chen,

2024

Advances in Mechanical Engineering

View full text Add to dashboard Cite

With the rapid growth of the new energy vehicle industry, the number of end-of-life power batteries, which serve as the technological core, is also increasing significantly. Unfortunately, this rise in retired power batteries has led to severe environmental pollution and resource wastage. The detection of shell bolts in power batteries has thus become a crucial step in the recycling and disassembly process. To address this issue, this research proposes a detection method for end-of-life power battery shell bolts. Based on market analysis, the target bolt for the retired power battery shell was identified. The bolt images were collected and preprocessed to create a custom dataset on the experimental platform. Four popular object detection algorithms were compared, and the YOLOv8 model is selected to improve with EMA module. The improved YOLOv8 model achieves 98.9% for mAP_0.5, which increases more than 2 percentage points. Based on the repeatability of bolt recognition, this detection method can be used for the identification of bolts in other battery shells, providing a theoretical foundation for promoting the robotic disassembly of battery shells.

show abstract

Section: Establishment Of Dataset For Retired Power Battery Shell Boltsmentioning

confidence: 99%

An intelligent detection approach for end-of-life power battery shell bolts

Li,

Chen,

2024

Advances in Mechanical Engineering

View full text Add to dashboard Cite

show abstract

“…Signature images would be cropped, resized, and filtered to make sure that all the collected signatures are pre-processed before the system extracts the required features. This step minimizes the number of false matches, maintains the high performance of the system, and reduces the processing time by reducing the image size [23]. The resulting images are resized to a unified size of (512*512 pixels).…”

Section: Data Pre-processingmentioning

confidence: 99%

Offline signature recognition system using oriented FAST and rotated BRIEF

Al-Tamimi

Qasaimeh

Qaddoum

2021

IJECE

View full text Add to dashboard Cite

Despite recent developments in offline signature recognition systems, there is however limited focus on the recognition problem facet of using an inadequate sample size for training that could deliver reliable and easy to use authentication systems. Signature recognition systems are one of the most popular biometric authentication systems. They are regarded as non-invasive, socially accepted, and adequately precise. Research on offline signature recognition systems still has not shown competent results when a limited number of signatures are used. This paper describes our proposed practical offline signature recognition system using the oriented FAST and rotated BRIEF (ORB) feature extraction algorithm. We focus on the practicality of the proposed system, which requires only the minimum number of signatures per user to achieve a high level of fidelity. We manifest the practicality of our approach with a signature database of 300 signatures from 100 different individuals, implying that only two signatures are needed per person to train the proposed system. Our proposed solution achieves a 91% recognition rate with a median matching time of only 7 ms.

show abstract

“…The detection and description of keypoint features from images is key step in image stitching. Authors in [8]- [14] proposed several feature extraction techniques and demonstrated comparative analysis by keeping in view of proper image registration. Fischler and Bolles introduced statistically robust fitting model named RANSAC in [15] which finds correct feature matches (i.e.…”

Section: Review Of Related Workmentioning

confidence: 99%

Blind Image Quality Evaluation of Stitched Image using Novel Hybrid Warping Technique

Gandhe¹,

Vaidya²

2019

IJACSA

Self Cite

View full text Add to dashboard Cite

Image stitching is collection of sequential images captured at fixed camera center having considerable amount of overlap and produces aesthetically pleasing seamless panoramic view. But, practically it is very difficult to obtain clean and pristine stitched panoramic image of particular scene as such images are apparently distorted. In this paper, a novel Hybrid Warping technique is used that combine two global warps and one local warp and helps to refine image alignment stage. Our proposed method optimizes Homography Screening to rectify problem of perspective distortion and Edge Strength Similarity approach to quantify structural irregularities. The Blind Image Quality Evaluation models such as Blind Image Quality Index (BIQI), Blind/Reference-less Image Spatial QUality Evaluator (BRISQUE) and BLind Image Integrity Notator using DCT Statistics (BLIINDS-II) are employed to measure objective quality of stitched image. The experimental results showed that blind image quality score of proposed method is significantly better than latest existing methods.

show abstract

The Study of Preprocessing and Postprocessing Techniques of Image Stitching

Cited by 10 publications

References 16 publications

An intelligent detection approach for end-of-life power battery shell bolts

An intelligent detection approach for end-of-life power battery shell bolts

Offline signature recognition system using oriented FAST and rotated BRIEF

Blind Image Quality Evaluation of Stitched Image using Novel Hybrid Warping Technique

Contact Info

Product

Resources

About