Performance analysis of image processing algorithms for classification of natural vegetation in the mountains of Southern California

This paper presents a template-based vision system to detect and classify the nonuniformaties that appear on the semiconductor wafer surfaces. Design goals include detection of flaws and correlation of defect features based on semiconductor industry expert’s knowledge. The die pattern is generated and kept as the reference beforehand from the experts in the semiconductor industry. The system is capable of identifying the defects on the wafers after die sawing. Each unique defect structure is defined as an object. Objects are grouped into user-defined categories such as chipping, metallization peel off, silicon dust contamination, etc., after die sawing and micro-crack, scratch, ink dot being washed off, bridging, etc., from the wafer. This paper also describes the vision system in terms of its hardware modules, as well as the image processing algorithms utilized to perform the functions.

Download Full-text

Classification of EEG signals for detection of epileptic seizure activities based on feature extraction from brain maps using image processing algorithms

IET Image Processing ◽

10.1049/iet-ipr.2018.5418 ◽

2018 ◽

Vol 12 (12) ◽

pp. 2153-2162 ◽

Cited By ~ 6

Author(s):

Sairamya Nanjappan Jothiraj ◽

Thomas George Selvaraj ◽

Balakrishnan Ramasamy ◽

Narain Ponraj Deivendran ◽

Subathra M.S.P

Keyword(s):

Image Processing ◽

Feature Extraction ◽

Epileptic Seizure ◽

Eeg Signals ◽

Brain Maps ◽

Image Processing Algorithms ◽

Processing Algorithms

Download Full-text

Performance analysis of basic image processing algorithms on GPU

2017 International Conference on Inventive Systems and Control (ICISC) ◽

10.1109/icisc.2017.8068687 ◽

2017 ◽

Cited By ~ 1

Author(s):

Vigneswaran Saahithyan ◽

Somaskandan Suthakar

Keyword(s):

Image Processing ◽

Performance Analysis ◽

Basic Image ◽

Image Processing Algorithms ◽

Processing Algorithms

Download Full-text

Otoconia perfect/imperfect crystals

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100167949 ◽

1994 ◽

Vol 52 ◽

pp. 42-43

Author(s):

César D. Fermin ◽

Dale Martin

Keyword(s):

Image Processing ◽

Room Temperature ◽

Phosphotungstic Acid ◽

Gallus Domesticus ◽

Crystal Matrix ◽

Organic Templates ◽

Image Processing Algorithms ◽

Processing Algorithms ◽

Diffraction Patterns

Otoconia of higher vertebrates are interesting biological crystals that display the diffraction patterns of perfect crystals (e.g., calcite for birds and mammal) when intact, but fail to produce a regular crystallographic pattern when fixed. Image processing of the fixed crystal matrix, which resembles the organic templates of teeth and bone, failed to clarify a paradox of biomineralization described by Mann. Recently, we suggested that inner ear otoconia crystals contain growth plates that run in different directions, and that the arrangement of the plates may contribute to the turning angles seen at the hexagonal faces of the crystals.Using image processing algorithms described earlier, and Fourier Transform function (2FFT) of BioScan Optimas®, we evaluated the patterns in the packing of the otoconia fibrils of newly hatched chicks (Gallus domesticus) inner ears. Animals were fixed in situ by perfusion of 1% phosphotungstic acid (PTA) at room temperature through the left ventricle, after intraperitoneal Nembutal (35mg/Kg) deep anesthesia. Negatives were made with a Hitachi H-7100 TEM at 50K-400K magnifications. The negatives were then placed on a light box, where images were filtered and transferred to a 35 mm camera as described.

Download Full-text