Document
type: Class

CMOS digital pixel for binary morphological edge segmentation
EI dscopus: 2-s2.0-47349086121
most specific type: Document
most specific type: Conference Paper
type: Generically Dependent Continuant
doi: 10.1109/CERMA.2007.4367697
related by: authorship_51398
related by: authorship_51399
date time value: conference paper date 8051
type: Information Content Entity
page end: 270
page start: 266
estado: published
artnum: 4367697
origen: scopus
related by: authorship_51401
type: Entity
abstract: A digital pixel for binary morphological image processing is presented. The pixel is designed to be integrated into a vision chip with parallel architecture, in order to compute edge segmentation. The pixel contains 11 transistors working with analog signal and 20 transistor working with digital signal; pixel layout size is 115.2μm x 89.4μm; fill factor is 1.85%25; 1.2μm CMOS standard technology from AMI is used for prototyping; random noise is 2.7m V; peak analog output signal to noise ratio is 44dB; optical dynamic range is 53dB; dark current is 11mV/s; processing time is 3.5 ms; maximum power dissipation is 264 μW. © 2007 IEEE.
crisid: 8051
type: Continuant
freetext keyword: Analog to digital conversion; Automation; Automobile electronic equipment; Automobile parts and equipment; CMOS integrated circuits; Computer graphics; Digital arithmetic; Digital signal processing; Digital to analog conversion; Image processing; Imaging systems; Imaging techniques; Optical data processing; Signal to noise ratio; Speed; Standards; Analog signals; Automotive Mechanics; Digital pixels; Digital signals; Dynamic range (DR); Edge segmentation; Fill factor (FF); Maximum power dissipation; Morphological image processing; Optical (PET) (OPET); Output signal to noise ratio (SNR); Parallel architectures; Processing Time; Prototyping; Random noises; Standard technology; Vision chips; Pixels
type: Conference Paper
has publication venue: Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings
type: Document
related by: authorship_51400
type: Thing
type: Article

Continuant
type: Class

Entity
type: Class

Generically Dependent Continuant
type: Class

RDF description of CMOS digital pixel for binary morphological edge segmentation - http://orbis.uaslp.mx/vivo/individual/scopus8050
rights: termsOfUse
date: 2026-08-27T06:29:01
publisher: vivo
type: Document

Electronics, Robotics and Automotive Mechanics Conference, CERMA 2007 - Proceedings
type: Book
type: Entity
type: Information Content Entity
type: Proceedings
type: Continuant
type: Document
type: Thing
publication venue for: CMOS digital pixel for binary morphological edge segmentation
type: Generically Dependent Continuant

Article
type: Class

Information Content Entity
type: Class

Conference Paper
type: Class