{"id":{"repo_id":"eastern-wash","oai_identifier":"oai:dc.ewu.edu:theses-1873"},"canonical_url":"https://search.dev.ndltd.org/etd/eastern-wash/oai:dc.ewu.edu:theses-1873","repository":{"repo_id":"eastern-wash","name":"Eastern Washington University","base_url":"https://dc.ewu.edu/do/oai/"},"display":{"title":"Left ventricular boundary detection in digitized cardiac images","abstract":"<p>Edge detecting techniques relative to application in a portion of Eastern Washington University's Heart Modeling System (HMS) are discussed. Filters, sharpeners, and transforms are discussed in more depth. Twelve operators, several with more than one mask, are tested to arrive at the optimal edge detecting scheme for this domain. Images are shown for each of the operators tested. A glossary and extensive bibliography are included.</p>","abstract_html":"&lt;p&gt;Edge detecting techniques relative to application in a portion of Eastern Washington University&#x27;s Heart Modeling System (HMS) are discussed. Filters, sharpeners, and transforms are discussed in more depth. Twelve operators, several with more than one mask, are tested to arrive at the optimal edge detecting scheme for this domain. Images are shown for each of the operators tested. A glossary and extensive bibliography are included.&lt;/p&gt;","abstract_has_math":false,"creators":["Alm, Albertine L. Marie"],"institution":null,"degree_name":"Master of Science (MS) in Computer Science","degree_level":"Thesis: EWU Only","degree_discipline":"Computer Science","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1992,"date_issued":"1992-01-01T08:00:00Z","date_published":"1992-01-01T08:00:00Z","updated_at":"2026-07-24T02:12:46Z","subjects":["Other Analytical, Diagnostic and Therapeutic Techniques and Equipment","Other Computer Sciences","Theory and Algorithms"],"languages":[],"rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.ewu.edu/theses/873","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Alm, Albertine L. Marie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Computer Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis: EWU Only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS) in Computer Science"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Other Analytical, Diagnostic and Therapeutic Techniques and Equipment","Other Computer Sciences","Theory and Algorithms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Access perpetually restricted to EWU users with an active EWU NetID"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.ewu.edu/theses/873"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Edge detecting techniques relative to application in a portion of Eastern Washington University's Heart Modeling System (HMS) are discussed. Filters, sharpeners, and transforms are discussed in more depth. Twelve operators, several with more than one mask, are tested to arrive at the optimal edge detecting scheme for this domain. Images are shown for each of the operators tested. A glossary and extensive bibliography are included.</p>"]},{"key":"dc:title","label":"Title","values":["Left ventricular boundary detection in digitized cardiac images"]}]}],"canonical_facts":{"dc:creator":["Alm, Albertine L. Marie"],"dc:description.abstract":["<p>Edge detecting techniques relative to application in a portion of Eastern Washington University's Heart Modeling System (HMS) are discussed. Filters, sharpeners, and transforms are discussed in more depth. Twelve operators, several with more than one mask, are tested to arrive at the optimal edge detecting scheme for this domain. Images are shown for each of the operators tested. A glossary and extensive bibliography are included.</p>"],"dc:identifier":["https://dc.ewu.edu/theses/873"],"dc:rights":["Access perpetually restricted to EWU users with an active EWU NetID"],"dc:subject":["Other Analytical, Diagnostic and Therapeutic Techniques and Equipment","Other Computer Sciences","Theory and Algorithms"],"dc:title":["Left ventricular boundary detection in digitized cardiac images"],"thesis:degree_discipline":["Computer Science"],"thesis:degree_level":["Thesis: EWU Only"],"thesis:degree_name":["Master of Science (MS) in Computer Science"]},"updated_at":"2026-07-24T02:12:46Z"}