Color Image Segmentation Method Based on Parameter-Controlled MSPCNN and SLIC

Fig. 2. Comparison results of division and clustering for two algorithms. (a) Division results of the proposed algorithm; (b) first merging results after division by the proposed algorithm; (c) clustering results of the proposed algorithm; (d) clustering results of SLIC

Download full size

Fig. 3. Comparison results for different algorithms. (a) SLIC; (b) SNIC; (c) CAS; (d) SCoW; (e) our algorithm

Download full size

Table 1. Index comparison

View table

Table 1. Index comparison

Algorithm	Building			Bird			Tree
Algorithm	BR	UE	ASA	BR	UE	ASA	BR	UE	ASA
SLIC	0.7696	0.2204	0.7620	0.9484	0.0324	0.8747	0.9056	0.0272	0.8220
SNIC	0.6613	0.3105	0.6431	0.9316	0.0411	0.8605	0.9298	0.0284	0.8464
CAS	0.7702	0.0235	0.9322	0.8703	0.0141	0.9066	0.9118	0.0322	0.8634
SCoW	0.9328	0.0285	0.7037	0.7284	0.1495	0.6490	0.8117	0.1346	0.7703
Proposed	0.9763	0.1353	0.8513	0.9682	0.1186	0.9265	0.9438	0.0273	0.8711

Table 2. Running time comparison unit: s
View table
Table 2. Running time comparison unit: s
Running time SLIC SNIC CAS SCoW Proposed
Building 0.9547 0.3945 0.4411 0.4973 1.1965
Bird 0.7937 0.2894 0.3681 0.7804 1.1209
Tree 0.7825 0.2454 0.3818 0.4716 1.1264

Tools

Get Citation

Copy Citation Text

Xinying Li, Siyuan Ran, Jing Lian. Color Image Segmentation Method Based on Parameter-Controlled MSPCNN and SLIC[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210023

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites