{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:O3NZGRPA3RMFE4H2E7GUHU5WXK","short_pith_number":"pith:O3NZGRPA","schema_version":"1.0","canonical_sha256":"76db9345e0dc585270fa27cd43d3b6ba8fb4983c8f3b3617cceb0e0b0b021ab3","source":{"kind":"arxiv","id":"1307.4516","version":1},"attestation_state":"computed","paper":{"title":"Mammogram Edge Detection Using Hybrid Soft Computing Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"I. Laurence Aroquiaraj, K. Thangavel","submitted_at":"2013-07-17T06:45:23Z","abstract_excerpt":"Image segmentation is a crucial step in a wide range of method image processing systems. It is useful in visualization of the different objects present in the image. In spite of the several methods available in the literature, image segmentation still a challenging problem in most of image processing applications. The challenge comes from the fuzziness of image objects and the overlapping of the different regions. Detection of edges in an image is a very important step towards understanding image features. There are large numbers of edge detection operators available, each designed to be sensi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1307.4516","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2013-07-17T06:45:23Z","cross_cats_sorted":[],"title_canon_sha256":"af20dd58f7a878d860a54cd23c92783b3636b0193a6f6dba0510b6c29582bd72","abstract_canon_sha256":"50c79bdb94fe77989747bd5f429caddc2474a97f6172f277c125e1fec17881cd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:18:17.748165Z","signature_b64":"hUMqmc5L5uNk77YBI4Dzqz3GVbnibZHFEfKWGE3CR6FkO4dvpNkxyBbbDJuI9ggh5G4pYhsGKbp1vh/susjtCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"76db9345e0dc585270fa27cd43d3b6ba8fb4983c8f3b3617cceb0e0b0b021ab3","last_reissued_at":"2026-05-18T03:18:17.747595Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:18:17.747595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mammogram Edge Detection Using Hybrid Soft Computing Methods","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"I. Laurence Aroquiaraj, K. Thangavel","submitted_at":"2013-07-17T06:45:23Z","abstract_excerpt":"Image segmentation is a crucial step in a wide range of method image processing systems. It is useful in visualization of the different objects present in the image. In spite of the several methods available in the literature, image segmentation still a challenging problem in most of image processing applications. The challenge comes from the fuzziness of image objects and the overlapping of the different regions. Detection of edges in an image is a very important step towards understanding image features. There are large numbers of edge detection operators available, each designed to be sensi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1307.4516","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1307.4516","created_at":"2026-05-18T03:18:17.747683+00:00"},{"alias_kind":"arxiv_version","alias_value":"1307.4516v1","created_at":"2026-05-18T03:18:17.747683+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1307.4516","created_at":"2026-05-18T03:18:17.747683+00:00"},{"alias_kind":"pith_short_12","alias_value":"O3NZGRPA3RMF","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_16","alias_value":"O3NZGRPA3RMFE4H2","created_at":"2026-05-18T12:27:54.935989+00:00"},{"alias_kind":"pith_short_8","alias_value":"O3NZGRPA","created_at":"2026-05-18T12:27:54.935989+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK","json":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK.json","graph_json":"https://pith.science/api/pith-number/O3NZGRPA3RMFE4H2E7GUHU5WXK/graph.json","events_json":"https://pith.science/api/pith-number/O3NZGRPA3RMFE4H2E7GUHU5WXK/events.json","paper":"https://pith.science/paper/O3NZGRPA"},"agent_actions":{"view_html":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK","download_json":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK.json","view_paper":"https://pith.science/paper/O3NZGRPA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1307.4516&json=true","fetch_graph":"https://pith.science/api/pith-number/O3NZGRPA3RMFE4H2E7GUHU5WXK/graph.json","fetch_events":"https://pith.science/api/pith-number/O3NZGRPA3RMFE4H2E7GUHU5WXK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK/action/storage_attestation","attest_author":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK/action/author_attestation","sign_citation":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK/action/citation_signature","submit_replication":"https://pith.science/pith/O3NZGRPA3RMFE4H2E7GUHU5WXK/action/replication_record"}},"created_at":"2026-05-18T03:18:17.747683+00:00","updated_at":"2026-05-18T03:18:17.747683+00:00"}